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Virtual enterprise is considered as the leading enterprise paradigm of 21st century. Based on the study of a lot of literature on VE, this paper summarizes 7 hypotheses about VE. By comparing the quality management of VE with that of traditional enterprises, 2 key points on quality management of VE were drawn. Firstly, the quality management of VE is a coordinating maangement; secondly, the management of quality information exchange is the key part of VE’s quality management. Furthermore, 5 principles that should be observed by the design of the quality maangement system of VE are given. Then, the concepts of VE’s product module and quality task and the relationship between them are proposed. The conceptual model of the quality management of VE in manufacture process is establsihed and explicated.

Due to the different actual construction conditions in different cities, the requirements for community livability may also differ due to different geographical locations and urban construction priorities. The research system in this paper can be applied to study similar old communities in old urban areas. The indicator system would need to be adjusted in different places, based on specific construction situations and higher planning requirements. This process would provide valuable insights for effective construction projects that support the livability of the old communities.

Based on sustainable and people-oriented development principles, this study considered the development of old urban communities during today’s rapid urban renewal and development. Using previous literature and related research experience, this study established an evaluation indicator system to assess the livability of old urban communities. Based on the local resident experience and satisfaction, the study investigated current weaknesses in the construction of livable old urban communities and developed corresponding recommendations for reform based on these. The goal was to provide guidance and recommendations for renewing old communities in during urban development and further promote the sustainable development of the city.

Based on the people-oriented principle and focusing on old urban communities as the research object, this study constructed an evaluation indicator system to evaluate the livability of urban old communities. The goal was to identify the weaknesses in the construction of old urban communities, with a focus on livability. Using the Bei’anmen community in Nanjing as a case study, the AHP method and fuzzy comprehensive evaluation method were applied to evaluate the overall target level and specific indicators, with the goal of assessing the level of livability in the Bei’anmen community.[AQ2] The results show that the livability of the Bei’anmen community is “very poor,” with significant room for improvements in community livability. This study also proposed corresponding measures for improving problems related to livability in the old urban community. Establishing the indicator system may help evaluate the livability of similar old communities in Nanjing and the same types of old communities in other cities. Understanding the overall livability of communities under construction can help identify weaknesses in other own construction approaches and may inform appropriate steps to improve the sustainable construction of the community in the wave of continuous urban renewal. This may realize the further development of livability in the community.

The community is an integral part of the city and strengthening the community’s civilization can support a harmonious and stable social environment. In constructing livable communities, improving the community civilization can promote social progress and civilization, promote social harmony and support the harmonious and sustainable development of communities. To strengthen the construction of a livable community, it is important to apply a residential perspective and provide a good platform for managing community participation and interaction. This may include organizing community-level cultural activities and strengthening communication between residents to increase the residents’ affection for the community. This would enhance the residents’ sense of belonging, forming a harmonious and stable atmosphere of community life, mutual help and mutual tolerance.

The purpose of this paper is to investigate the substitutability of corporate hedging and diversification in the real estate investment trusts (REITs) industry. The authors hypothesize that, relative to diversified firms, focused firms are more likely to be associated with hedging. The role of firm size is also analyzed.

The logistic regression approach is utilized to analyze the probability of hedging and the panel regression approach is used to examine the amount of hedging.

The authors find that, relative to diversified firms, firms focused on a single property type are more likely to engage in hedging. However, this finding is significant only for smaller firms, which implies a non-linear relation between hedging and firm size. The evidence is not as strong when firm focus is measured by geographic concentration. In terms of hedging amount, smaller firms’ average hedge ratio is greater than that of larger firms. For either small or large firms group, hedging amounts increase with firm focus measured by either property or geographic concentration and increase with firm sizes.

The results imply that, relative to diversified REITs, REITs focused on a single property type are more likely to engage in hedging. However, this finding is significant only for smaller firms, which implies a non-linear relation between hedging and firm size. The evidence is not as strong when firm focus is measured by geographic concentration, suggesting that geographic concentration is perceived to be less risky than property type concentration. For either small or large firms group, hedging amounts increase with firm focus measured by either property or geographic concentration and increase with firm sizes, which implies that hedging amount does not depend on firm size. The sample period is limited to the years 2010 to 2013 because some data needs to be manually collected.

The results imply that REITs consider both property diversification and hedging in managing their risk.

The research represents an early attempt to investigate the relation between corporate hedging and diversification. The investigation into the REIT industry has several advantages such as a lower likelihood of using derivatives for speculation.

The purpose of this paper is to report the investigation of a low temperature application process for three‐layer polyethylene coating (3LPE) at 185‐195°C to meet the requirement of the coating temperature for X80 longitudinally welded pipe.

Plant coating and laboratory tests were performed to determine the properties of 3LPE coating coated at 185‐195°C.

The properties of the 3LPE coating, which was applied by using a suitable low temperature cured epoxy powder at temperature of 185‐195°C, were nearly the same as those of a 3LPE coating that had been applied at the normal coating temperature (200‐230°C).

Recommended acceptance criteria for 3LPE coatings applied at 185‐195°C are proposed. The research results met the requirements for external anti‐corrosion properties for X80 longitudinally welded pipe.

Gives a bibliographical review of the finite element methods (FEMs) applied for the linear and nonlinear, static and dynamic analyses of basic structural elements from the theoretical as well as practical points of view. The range of applications of FEMs in this area is wide and cannot be presented in a single paper; therefore aims to give the reader an encyclopaedic view on the subject. The bibliography at the end of the paper contains 2,025 references to papers, conference proceedings and theses/dissertations dealing with the analysis of beams, columns, rods, bars, cables, discs, blades, shafts, membranes, plates and shells that were published in 1992‐1995.

This study aims to conduct a thorough literature review to map current studies on international marketing capabilities (IMCs) applying dynamic capabilities view (DCV). The aim of this study is to increase the chances for more conceptual and terminological rigor in future research in this particular research area.

This is a systematic literature review following the established review process of reviews in leading (international) marketing journals. A multilevel analytical approach was adopted, combining inductive coding with deductive coding and following the logic of antecedents-phenomena-consequences.

Synthesis of 20 rigorously selected previous empirical studies on IMCs applying DCV reveals that academic interest in these capabilities is well justified and growing and there are some well researched antecedents to focal capabilities (e.g. inter-organizational capabilities, outside-in market orientation) as well as their prevalent consequences (e.g. export and innovation performance). There is little knowledge of moderators to these links, especially with regard to consequences. This review illustrates that the current research lacks consistency in how key constructs are defined and measured, provides the guide to future conceptualization and measurement of so-called International Dynamic Marketing Capabilities (IDMCs) and proposes some concrete research directions.

The authors extend prior research in the investigated topic by critically evaluating prior works, providing improved conceptualization of IDMCs as well as concrete research agenda for IDMCs structured along recommendations for Theory, Context and Methods (TCM framework).

This study explores how businesses can effectively market functional and emotional benefits through virtual corporate social responsibility co-creation (VCSRC) initiatives. The aim is to enhance customer engagement through these initiatives.

The initial phase of this study involved recruiting 185 Chinese university students as participants. These individuals were randomly distributed into four distinct experimental groups, each designed to investigate the influence of varied marketing appeals and common in-group identity (CIGI) on consumer engagement willingness. This phase also sought to elucidate the mediating role of CSR associations in these dynamics. Following this, the second study engaged 570 individuals, recruited through “Credamo,” for a group-based experiment. This subsequent phase was intended to validate the findings of the preliminary study and explore the varying intensities of interaction between different marketing appeals and CIGI, with a particular focus on the dichotomy of independent and interdependent self-construals.

The study delineates a detailed relationship between consumers' willingness to participate in VCSRC, marketing appeals, and common in-group identity, revealing that strong common in-group identity correlates with a preference for functional appeals, while a weaker in-group identity inclines towards emotional appeals. Notably, interdependent self-construal significantly influences consumer responses, intensifying the interaction between in-group identity and marketing appeal and thereby influencing participation willingness. Moreover, CSR associations emerge as key mediators in this interaction, underscoring their role in enhancing the effectiveness of VCSRC strategies. These insights provide a new understanding of the crucial impact of consumer identity traits on marketing strategy efficacy.

This research stands as a trailblazing endeavor in evaluating the effects of varied advertising appeals under the VCSR paradigm. It probes into the foundational mechanisms, leveraging insights from interaction alignment theory and persuasion theory to elucidate the processes involved.

Integrating balance theory and social identify theory, this paper proposes a multilevel model to explain how abusive supervision climate of team impacts the relationship among team members as well as subordinates’ behavior towards their teammates, especially organizational citizenship behavior (OCB).

A survey was conducted to collect two-wave and multi-source data from 398 employees nested in 106 teams from Chinese high-technology companies. Hierarchical linear modeling was conducted to examine the theoretical model.

The results indicate that there is an inverted U-shape association between abusive supervision climate and subordinates’ OCB towards coworker; team member exchange (TMX) mediates their inverted U-shaped link. Furthermore, we confirm that coworker support plays a vitally moderating role upon the curvilinear link of abusive supervision climate (ASC)–TMX; specifically, when employees perceive low coworker support, negative relations between ASC and TMX will be stronger.

This study identifies team members’ advantageous and adverse relational response to shared threat of ASC and examines coworker support as a moderator of ASC, which provides valuable insights into when and why employees tend to cooperate with their teammates to jointly confront their leader’s abuse and highlights the importance of coworkers, thus enabling organizations to deeply understand the wider influences of ASC on interpersonal relationship between team members.

This study illustrates the use of the repertory grid in identifying and assessing effective teaching competencies.

The data were collected from two subsamples that consist of business management students and engineering students. The systematic repertory grid (RepGrid) method was performed to identify broad effective teaching competencies.

Broad effective teaching competencies found in the study include teaching approach, behavioral orientation, subject expertise, and communication skills among others.

Interestingly, the responses of the subsamples differ in the competencies identified and the weights assigned to a particular competency. Further, the results indicate the importance of having a “context” and thereby challenge the concept of generic teaching competencies.

The universities are encouraged to use RepGrid technique to assess effective teaching competencies of their faculty members.

The techniques for developing teaching competency models by some prior studies have several inherent flaws including the efficiency and effectiveness of data collection. The study takes forward the suggestions of scholars to use a rigorous technique, repertory grid, to overcome several of these flaws to a large extent.

Teacher education programmes are critical in developing pre-service teachers’ competencies during the apprenticeship phase (Lim et al., 2010), whereas there is evidence indicating that teacher education programmes depend on curriculum leadership (Robinson et al., 2008). The purpose of this paper is to explore the ways in which curriculum leaders enact their curriculum leadership to enhance teacher education programmes in a context of a normal university in Mainland China.

In this paper, three groups of curriculum leaders, from university, faculty and classroom level, respectively, are interviewed.

This study highlights the significance of curriculum leadership in teacher education programmes enhancement in China, particularly the significant impacts from curriculum leaders’ involvement on the programme processes of planning, implementation and evaluation.

Implications for research include a conceptualization of curriculum leadership in teacher education and pre-service teachers’ training in China, and a theoretical integration of curriculum leadership and the enhancement of teacher education programmes.

Implications for practice regard to restructuring curriculum leadership system and informing curriculum leadership practices, not only in Asian countries, but might be able to shed light on the curriculum leadership development in a range of educational contexts either similar to or different from that of Mainland China. This study thus would contribute to several areas of research.

The purpose of this paper is to investigate the effect of perceived product similarity and comparative ad claims on brand responses.

This study uses a two (similarity between the target product and the comparison product: relatively similar vs dissimilar) by three (product attributes of the target product: common to the comparison product, distinct from the comparison product, and a combination of common and distinct attributes) between-subjects factorial design with 300 Thai undergraduate students.

It finds that when perceived similarity between the products is high, a combination of superiority (distinct) and parity (common) ad claims lead to the best brand responses. When perceived similarity is low, superiority claims bring about the best brand responses.

It extends comparative advertising and category-substitution research by addressing the research gaps in perceived similarity and claim type.

Companies should emphasize a product’s superior attributes in general but a combination of common and superior attributes when the product is relatively similar to other products in comparative advertising.

This study provides new evidence that perceived product similarity moderates the effect of comparative ad claims on brand responses.

The purpose of this paper is to investigate the reciprocal relationship between profitability and capital structure and its impacts on the corporate values of manufacturing companies in Indonesia.

This research is a quantitative research using the general structural component analysis as the analysis tool. This research involved a number of manufacturing companies registered in the Indonesia Stock Exchange in 2008‒2015 period.

Profitability has a negative significant influence on capital structure, indicating that profitability is a determining factor upon the corporate capital structure. This finding also implies that the improvement in profitability in the forms of return on investment, return on equity and net profit margin triggers decrease in the proportion of debt within the capital structures of manufacturing companies registered in BEI or Indonesia Stock Exchange.

Previous research only addressed the one-way correlation between profitability and capital structure, whereas this research measured the two-way correlation and reciprocal relationship at the same time. This research measured the influences of profitability and capital structure on the corporate value, in order to find a consistent finding that has not been yet obtained in previous research. This research also attempted to find out whether the use of the same variables within different time and setting (in Indonesia) leads to different results. The inconsistent findings also motivate the researcher to re-explore the reciprocal influence of corporate profitability on corporate capital structure and its effect toward the corporate value.

Examines the recent research on advertising in mainland China over the 1979‐1998 period. Suggests that findings show a sustained effort in academic research/publications on advertising in China is in the early stage of its development and whilst many areas have been researched, there are many more yet to be touched. Concludes that the research is seldom based on established theoretical or conceptual framework and the research methods and types of analysis used have not been very advanced when compared to general advertising research.

Understanding how retail performance can reduce risk perceptions and influence behavioral intentions remains a key issue for researchers. Consumer evaluations of a retailer's performance may form their risk perceptions and positive behavioral intentions toward the retailer. This study aims to extend previous research by proposing an integrative model that examines how three retail performance dimensions (product quality, service quality, and price fairness) influence consumer trust, risk perceptions, and repatronage intentions in the context of organic food retailing.

Empirical data were collected from face-to-face interviews guided by a structural questionnaire. Consumers of organic food retailers located in Taiwan were asked to participate in the research and 416 usable questionnaires were collected. Structural equation modeling (SEM) through LISREL 8.70 was used to analyze the data.

Results show that both product quality and price fairness have direct effects on consumer trust, risk perceptions, and indirect effects (through trust in retailer and transaction risk perceptions) on the intent to revisit an organic food retailer. Service quality only affects consumer trust directly, but not perceived transaction risk. In addition, service quality does not have a significant indirect effect on revisit intention.

This study is the first to research essential issues for understanding the role of retail performance dimensions on transaction risk perceptions in organic food marketing practices in Taiwan.

Studies of Tianhou-Mazu cult have been focused on three themes: studies in Taiwan emphasize hegemonic order; studies in Hong Kong reveal a relationship of “sisterhood” alliances; and studies in Singapore highlight the important role of ethnic groups. The rebuilding of the goddess’s ancestral temple in early 1980s and her acquiring a world intangible cultural heritage status in the early twenty-first century facilitate the redefinition of overseas Chinese’s religious affiliation. The purpose of this paper is to discuss this global development of the cult from the 1980s and its ritual implication in overseas Chinese communities.

This paper, by comparing the Tianhou-Mazu cult in Taiwan, Hong Kong and Southeast Asian Chinese settlements, argues that from sisters to descended replicas, or from local alliances to global hegemony, the cult of Tianhou-Mazu since the 1980s has not only replaced local culture with an emphasis on “high culture,” but also represents a religious strategy regarding local people’s interpretation of correctness and authority.

This paper argues that despite the imposition of hegemonic power from various authorities, popular religion is a matter of choice. This reflects how local religious practice is construed according to the interpretation of global cultural languages by the elite Chinese; their decision of when and how to reconnect with the goddess’s ancestral temple or the “imperial state,” or to form alliances with other local communities; and the implementation of the local government’s cultural policy.

This paper is one of the few attempts comparing development of a folk cult in various communities.

One of the standard practices of Communist Parties around the world is to employ art, including music, as a channel to spread political ideologies. This study aims to scrutinize the reception of Beethoven's music, particularly from a political viewpoint, by the Chinese Communist Party (CCP) in the People's Republic of China (PRC) during the early years of its rule, i.e. from 1949–1959. The ambiguity of Beethoven's own political outlook may have provided an opportunity for the CCP to choose the composer and his music in support of its aims.

To understand why and how the CCP could exploit Beethoven and his music to support its political ideologies, a series of Chinese writings on Beethoven between 1949 and 1959 have been studied. Those literatures not only helped the composer gain reputation and popularity in the PRC, but also provided a platform for the CCP to manipulate such candidate and his music. Finally, the reception of the performances of the Ninth Symphony in 1959 in the PRC is singled out for close examination.

During the first ten years of the establishment of the PRC, the quantity and quality of the articles on Beethoven expanded considerably. These writings continued to reflect the reception of Beethoven and his music with the addition of political nuances that could be interpreted in the CCP's favour.

This paper seeks to examine the PRC's artistic policies, with a particular emphasis on the reception of Beethoven and western classical music.

This study empirically tests the influence of key elements on intent to use electronic (E)-ticket through the “Stimulus–Organism–Response (SOR)” framework and structural equation model. Results highlight factors such as E-trust Technology, Ease of Use, E-satisfaction, Intention to Purchase E-ticket, Price Perception, and Usefulness; the study comprehensively analyzes the factors influencing the decision-making process of consumers when it comes to purchasing E-tickets. The research employs a hypothesis-driven approach and gathers survey results from 408 observants to find out the intention of consumers to use E-tickets for using transportation services, which help transportation providers understand the importance of its platform to benefit customers who are willing to change their perceptions from paper tickets to E-tickets, the reason customers buying E-ticket rather than paper ticket while using digitalization to help firms control their cost and building internal legitimacy by better managing their internal stakeholder.

The purpose of this study is to use vector error-correction modeling together with directed acyclic graphs (DAG) for analyzing dynamic relations among monthly retail property price indices of 10 major cities in China from 2005–2021.

This paper apply both the PC and Linear Non-Gaussian Acyclic Model (LiNGAM) algorithms for inference of the DAG, with the former leading to the causal pattern and the latter leading to the causal path. This paper carry out innovation accounting analysis based on the causal path according to the LiNGAM algorithm.

Their results show sophisticated dynamics among processes of price adjustments following shocks. The results do not reveal clear evidence that supports dominance of the price series of the top-tier cities.

These results suggest that it could be beneficial to design policies at granular levels regarding regional retail property prices in China.

The purpose of this paper is to develop a new composite model using structural equation modelling (SEM) and analytic hierarchy process (AHP) for the selection of suppliers.

In this paper the authors have made an attempt to arrive at the supplier selection score using SEM and AHP. An attempt has been made to develop a new composite model using SEM and AHP technique, based on the survey of 151 respondents. Attributes' weightage are found out using cluster analysis.

Based on the output from the composite model, cluster analysis has been carried out to find out the strengths and weakness of each supplier on the influencing factors. Based on these findings, the supplier can improve on factors where they lag and can maintain the factors where they excel.

In this paper the authors have made an attempt to arrive at the supplier selection score using SEM and AHP.

Green innovation, particularly in manufacturing firms, is one of the most advocated methods to curb the effects of climate change. This study aims to investigate the impact of the integration of green customers and suppliers on the green innovation performance of food manufacturing firms in Pakistan. The institutional and resource-based view theories determine the moderating role of regulatory pressure and the mediating role of green knowledge integration capability (GKIC).

Data was collected from 511 middle management-level employees of food manufacturing firms in Pakistan. The questionnaire was tested for reliability and validity. Hierarchical regression is used to test the proposed hypothesis.

A marginal improvement in integration with green customers can increase the green innovation performance (GIP) of a firm by 23.6%. Green supplier integration can improve the GIP by 14.2%, whereas the GKIC mediates the relationship between Green Customers Integration (GCI) and GIP but not for green suppliers integration (GSI). The moderating effect of regulatory pressure was significant for the relationship between GCI and GIP but insignificant for GSI.

Food manufacturing accounts for approximately 16% of global green house gases (GHG) emissions. Sustainable development goals (SDGs) cannot be achieved without a significant decrease in GHG emissions by food manufacturing companies. Therefore, it is crucial to investigate firms' green innovation performance in this sector. The findings of this study can help policymakers develop policies for achieving SDGs.

Polyaniline (PANI) has garnered attention for its potential applications in anticorrosion fields because of its unique properties. Satisfactory outcomes have been achieved when using PANI as a functional filler in organic coatings. More recently, research has extensively explored PANI-based organic coatings with self-healing properties. The purpose of this paper is to provide a summary of the active agents, methods and mechanisms involved in the self-healing of organic coatings.

This study uses specific doped acids and metal corrosion inhibitors as active and self-healing agents to modify PANI using the methods of oxidation polymerization, template synthesis, nanosheet carrier and nanocontainer loading methods. The anticorrosion performance of the coatings is evaluated using EIS, LEIS and salt spray tests.

Specific doped acids and metal corrosion inhibitors are used as active agents to modify PANI and confer self-healing properties to the coatings. The coatings’ active protection mechanism encompasses PANI’s own passivation ability, the adsorption of active agents and the creation of insoluble compounds or complexes.

This paper summarizes the active agents used to modify PANI, the procedures used for modification and the self-healing mechanism of the composite coatings. It also proposes future directions for developing PANI organic coatings with self-healing capabilities. The summaries and proposals presented may facilitate large-scale production of the PANI organic coatings, which exhibit outstanding anticorrosion competence and self-healing properties.

This study aims to investigate dynamic relations among office property price indices of 10 major cities in China for the years 2005–2021.

Using monthly data, the authors adopt vector error correction modeling and the directed acyclic graph for the characterization of contemporaneous causality among the 10 indices.

The PC algorithm identifies the causal pattern, and the linear non-Gaussian acyclic model algorithm further determines the causal path from which we perform innovation accounting analysis. Sophisticated price dynamics are found in price adjustment processes following price shocks, which are generally dominated by the top tier of cities.

This suggests that policies on office property prices, in the long run, might need to be planned with particular attention paid to the top tier of cities.

This chapter examines China’s corporate governance and accounting environment that shapes the adoption of internationally acceptable principles and standards. Specifically, it examines international influences, including supranational organizations; foreign investors and international accounting firms; domestic institutional influences, including the political system, economic system, legal system, and cultural system; and accounting infrastructure. China’s convergence is driven by desired efficiency of the corporate sector and legitimacy of participating in the global market. Influenced heavily by international forces in the context of globalization, corporate governance and accounting practices are increasingly becoming in line with internationally acceptable standards and codes. While convergence assists China in obtaining legitimacy, improving efficiency is likely to be adversely affected given that corporate governance and accounting in China operate in an environment that differs considerably from those of Anglo-American countries. An examination of the corporate governance and accounting environment in China suggests heavy government involvement within underdeveloped institutions. While the Chinese government has made impressive progress in developing the corporate governance and accounting environment for the market economy, China’s unique institutional setting is likely to affect how the imported concepts are interpreted and implemented.

This study aims to discover the role of accounting and media in hegemonic discourse for divestment valuation of PT Freeport Indonesia shares.

This study employs data from 608 news articles from 5 national media. This study uses Gramsci's concept of hegemony and Laclau and Mouffe's hegemonic discourse to explore the ideological role of accounting in the formation of historical blocs and investigate the contestants' discursive strategies through the chains of equivalence and difference.

The incumbent presidential candidate, by involving political and intellectual actors, has succeeded in taking over and shifting PT Freeport Indonesia's hegemony to maintain its power, through the ideology of divestment and accounting. The media played a role in the victory of the pro-divestment bloc in the hegemonic divestment discourse contest. The pro-divestment bloc's discursive strategy uses more formal and technical language styles than the anti-divestment bloc, which uses informal language styles. The pro-divestment bloc uses the key signifiers of low price, improved financial performance, nationalization and welfare, as opposed to the anti-divestment bloc, with the key signifiers of high price, declining financial performance and neoliberalist colonization.

The implications of this research may encourage accounting academics to contribute to emancipatory social movements in the struggle for hegemony. The implication for policy makers is the importance of involving the public, intellectual actors, political actors and the media in supporting diverse state strategic policies in the national interest.

This paper contributes to Gramsci's theory of hegemony and Laclau and Mouffe's hegemonic discourse to understand the role of accounting and media in a nationalization project as an emancipatory social movement, as well as a hegemonic shifting political movement.

Since introducing the UK start-up loan (SUL) Scheme in 2012, 82,809 new start-ups have been supported with loans totalling £759m. Even during the Covid-19 crisis, new business start-ups supported by SUL did not abate. The authors ask whether the entrepreneurs starting businesses during the Covid-19 crisis were different from those becoming entrepreneurs before the pandemic. This paper aims to discuss the aforementioned question.

The authors model the differences between pre-Covid-19 business start-ups and Covid-19 start-ups. The administrative data obtained from the UK Government Department for Business, Energy and Industrial Strategy (BEIS) represent information about individual loan records for 82,798 individuals and total lending of £759m between 2012 and 2021. The probit regression model with dependent variable coded one if the start occurred after February 2020 and zero between 2012 and February 2020, was estimated.

The study’s findings show that both groups of entrepreneurs differ in many facets. The new Covid-19 entrepreneurs are older, more likely to have a graduate-level education and are significantly more likely to make this transition from full-time waged employment or inactivity. Furthermore, they are more likely to set up in manufacturing industries at the business level than their pre-Covid-19 counterparts who favoured service sectors. Finally, their initial lending to support the start-up is much higher.

This study provides value for the policymakers responsible for the administration of the SUL scheme, and it also contributes to the body of knowledge on the effects of the global Covid-19 pandemic.

The purpose of this paper is to semantically annotate the content of digital images with the use of Semantic Web technologies and thus facilitate retrieval, integration and knowledge discovery.

After a review and comparison of the existing semantic annotation models for images and a deep analysis of the characteristics of the content of images, a multi-dimensional and hierarchical general semantic annotation framework for digital images was proposed. On this basis, taking histories images, advertising images and biomedical images as examples, by integrating the characteristics of images in these specific domains with related domain knowledge, the general semantic annotation framework for digital images was customized to form a domain annotation ontology for the images in a specific domain. The application of semantic annotation of digital images, such as semantic retrieval, visual analysis and semantic reuse, were also explored.

The results showed that the semantic annotation framework for digital images constructed in this paper provided a solution for the semantic organization of the content of images. On this basis, deep knowledge services such as semantic retrieval, visual analysis can be provided.

The semantic annotation framework for digital images can reveal the fine-grained semantics in a multi-dimensional and hierarchical way, which can thus meet the demand for enrichment and retrieval of digital images.

Though current literature has started to recognize the significant role that online faith-holders play in the context of brand reputation crises, extant research lacks a theoretical framework to explain the process in which online faith-holders endure the harm in brand reputation while collectively rebuilding the reputation. We propose and test a dual-challenge model for a more systematic understanding of faith-holder communities in brand reputation crises.

Focusing on collective-level communication activities, we quantitatively compared the volume, valence and variance of a faith-holder community’s communication (441,611 posts by 3,228 fans over 14 days) before and after a brand reputation crisis.

Our longitudinal data demonstrated that the crisis was a significant threat to group sentiment and cohesion. Nevertheless, the community was highly resilient and adaptive. Their emotions quickly recovered, and they promptly restored group cohesion and coordinated crisis response efforts after the crisis.

This study challenges the traditional assumption that online users are independent, static and reactive during brand crises. Instead, it conceptualizes online faith-holder community as a connected, proactive and dynamically adaptive group in crisis situations. This dual-challenge model highlights the importance of internally fostering collective resilience while externally coordinating crisis responses in a faith-holder community.

At present, China’s forestry development is mainly driven by the traditional production factors such as forestry labor force, land resources and capital and thus the top priority of forestry development is to optimize forestry production factors. Scientific and effective forestry labor input has a significant role in promoting the development of forestry industry. Given that the actual input to forestry labor is not clear, the accuracy of the forestry industry development may be slightly affected. Based on the monitoring project of collective forest tenure reform (RCFT), this paper uses the survey data of 3,500 rural households in seven provinces of China from 2010 to 2014 and 2016 to 2017 to measure the actual labor force in China, and empirically analyzes and studies the factors influencing the development of forestry industry based on the provincial data of forestry in China, and further discusses the heterogeneous impact of forestry production factors on the development of forestry industry.

In this paper, the generalized least squares estimation model is used to calculate the actual number of forestry labor in China, and then the Cobb–Douglas production function is selected to explore the influencing factors of forestry industry development.

The results show that the actual number of forestry labor force in China continues to decline and the degree of reduction varies from different regions. The forestry labor is a major factor that promotes the development of the forestry industry, but this promotion is affected by the low matching degree between the forestry production factors and thus further inhibits the development of the forestry industry. Due to the time lag of the reform, the implementation of RCFT first weakens and then promotes the development of forestry production. Further on, the forestry labor input is heterogeneous in land resource endowment, forestry investment source and the proportion of management personnel.

Therefore, researches show that the feasible way to promote the development of forestry industry is to expand the scale of forestry labor force, optimize the mutual allocation of forestry production factors, enhance the input of human capital in forestry and deepen the RCFT.

The purpose of this paper is to examine how communication practices influence individuals’ team assembly and performance in open innovation contests.

This study analyzed behavioral trace data of 4,651 teams and 19,317 participants from a leading open innovation platform, Kaggle. The analyses applied weighted least squares regression and weighted mediation analysis.

Sharing online profiles positively relates to a person’s performance and likelihood of becoming a leader in open innovation teams. Team assembly effectiveness (one’s ability to team up with high-performing teammates) mediates the relationship between online profile sharing and performance. Moreover, sharing personal websites has a stronger positive effect on performance and likelihood of becoming a team leader, compared to sharing links to professional social networking sites (e.g. LinkedIn).

As team collaboration becomes increasingly common in open innovation, participants’ sharing of their online profiles becomes an important variable predicting their success. This study extends prior research on virtual team collaboration by highlighting the role of communication practices that occur in the team pre-assembly stage, as an antecedent of team assembly. It also addresses a long-standing debate about the credibility of information online by showing that a narrative-based online profile format (e.g. a personal website) can be more powerful than a standardized format (e.g. LinkedIn).

Open innovation organizers should encourage online profile sharing among participants to facilitate effective team assembly in order to improve innovation outcomes.

The current study highlights the importance of team assembly in open innovation, especially the role of sharing online profiles in this process. It connects two areas of research that are previously distant, one on team assembly and one on online profile sharing. It also adds new empirical evidence to the discussion about online information credibility.

To examine the relationship between online comments, merchant replies and online sales of tourism products and focus on the moderating role of tourist destination.

This article uses crawler technology and regression analysis methods.

The researchers found the following: (1) The number of pictures uploaded with online comments, the number of merchant replies and the length of merchant replies have a significant positive effect on sales of tourism products, while the length of comments and the similarity of merchant replies negatively affect sales of tourism products. The emotional scores of the reviews do not significantly affect sales of tourism products. (2) Tourist destination moderates the relationship between user comments and sales of tourism products. The length of comments has a greater negative effect on sales of domestic tourism products, while the number of comments has a greater positive effect on sales of overseas tourism products. (3) Tourist destination moderates the relationship between merchant replies and sales of tourism products. Consumers who choose domestic tourism products pay more attention to the interactivity reflected by merchant replies (e.g. number and length of merchant replies), while consumers who choose overseas tourism products hope to receive replies that are more useful, such as reply similarity.

The research conclusions enrich the relevant research in the field of online review research and has practical significance for how companies increase sales of tourism products.

The purpose of this paper is to investigate the impact of the COVID-19 pandemic on company innovation, specifically centering on the quantity and quality of innovation. The paper aims to provide a comprehensive understanding of whether the epidemic inhibits innovation and the role of digital transformation in mitigating this negative impact.

The paper uses a quasi-experimental study of the COVID-19 pandemic and constructs a differential model to analyze the relationship between the epidemic and firm innovation in three dimensions: total, quantity and quality. The paper also uses a difference-in-difference-in-differences model to test whether digital transformation of firms mitigates the negative impact of the epidemic and its mechanism of action.

The results show that COVID-19 significantly reduced the overall level of firm innovation, primarily in terms of quantity rather than quality. Furthermore, this study finds that digital transformation plays a pivotal role in mitigating the pandemic’s adverse impact on innovation. By addressing financing constraints and countering demand insufficiency, digital transformation acts as a catalyst for preserving and fostering innovation during and after the pandemic.

This study extends the current research on the pandemic’s impact on firm innovation at the micro level. It offers valuable insights into strategies for fostering digital transformation among Chinese enterprises in the post-pandemic era.

This paper aims to theoretically investigate a knowledge management model from the combined perspective of knowledge acquisition and knowledge application and its effect on organizational performance.

This study reviews prior research on knowledge acquisition and knowledge application, puts forward the concepts of “the extensiveness of knowledge acquisition” and “the concentration of knowledge application” and more importantly proposes an integrated model by combining these two dimensions. Four case examples of enterprises are subsequently described and analyzed to illustrate the sources of knowledge acquisition, the objects of knowledge application and their influences on organizational performance.

Four knowledge management modes and their impacts are confirmed in this study. Specifically, the organization of the turbojet engine mode (high extensiveness of knowledge acquisition and high concentration of knowledge application) can achieve good performance. The pipeline mode (high extensiveness of knowledge acquisition and low concentration of knowledge application) is the second, which has limited influence on good organizational performance. Organizations with the flashlight mode (low extensiveness of knowledge acquisition and high concentration of knowledge application) can achieve limited performance under the appropriate environment. The candle mode (low extensiveness of knowledge acquisition and low concentration of knowledge application) is the worst, performance of which is poor due to the break of the knowledge chain.

This paper holds that organizations should actively use the turbojet engine mode, adopt the pipeline mode and the flashlight mode cautiously, and avoid falling into the candle mode.

To the best of the authors’ knowledge, this study is among the first to propose the concepts of “the extensiveness of knowledge acquisition” and “the concentration of knowledge application,” and provides a combined model for analyzing differences in organizational performance from the perspective of knowledge.

Leveraging marketer-generated content (MGC) can increase firms' success. However, few studies uncover the effects of MGC-related attributes on consumer engagement in the context of food marketing. This paper aims to explore the influence of MGC characteristics (valence, content types, vividness and interactivity) on consumer engagement.

This study uses WeChat official account data of seven food companies from China and conducts negative binomial regression models.

The findings indicate that different MGC-related characteristics have separate impacts on consumer WeChat engagement. Title valence, transactional title content and title with punctuation vividness negatively affect consumers' consuming engagement. Knowledgeable or entertaining title content and title with interactivity both positively affect consumers' consuming engagement. Moreover, transactional body text content negatively influences consumers' contributing engagement, whereas entertaining body text content shows positive effects. Vivid and interactive MGC body text attributes enhance consumers' contributing engagement behavior.

This study contributes to social media research in food marketplaces and sheds light on the effect of different WeChat MGC characteristics on separate consumer engagement.

Climate change is one of the most significant challenges of our time. The existing housing stock is a crucial component in achieving international and national climate change targets through energy efficiency improvements. The private rental sector incorporates some of the worst performing housing. To address this, the UK has implemented the minimum energy efficiency standard, based on the energy performance certificate rating. However, the energy performance certificate has a number of criticisms in the UK and across the EU. This viewpoints paper discusses the primary criticisms of the EPC and whether these undermine the minimum energy efficiency standard.

This viewpoint paper draws on the recent work across academic, government and professional literature to develop a critique of the energy performance certificate and its underlying methodology as a basis on which to form the minimum energy efficiency standard.

The paper concludes that based on the current form of the energy performance certificate in the UK, the minimum energy efficiency standard is likely to unfairly advantage some landlords and penalise others. This has implications for landlords, tenants and the wider housing stock.

This paper presents a discussion of the new minimum energy efficiency standard based on the limitations of the energy performance certificate. It has implications for policymakers, researchers and practitioners in the private rental sector.

The paper aims to identify and analyze passengers’ riding paths for providing better operational support for digital transformation in megacity metro systems.

The authors develop a method to leverage certain passengers’ deterministic riding paths to corroborate other passengers’ uncertain paths. Using Automatic Fare Collection data and train schedules, a witness model is built to recover the actual riding paths for passengers whose paths are unknown otherwise. The identification and analysis of passenger riding paths between three different types of origin–destination) pairs reveal the complexity of passenger path choice.

The results show that passenger path choice modeling is usually characterized by complexity, experience and partial blindness. Some passengers choose paths that are not optimal due to their experience and limited access to overall metro system information. These passengers could be the subject of improved path guidance in light of riding efficiency improved through digital transformation.

This research contributes to the improvement of metro management and operations by leveraging ongoing digital transformation in megacity metro systems. Based on the riding paths and trip chains of a large number of individual passengers identified by the proposed method, metro operation management could prevent risks in areas with concentrated passenger flow in advance, optimally adjust train schedules on a daily basis and deliver real-time riding guidance station by station, which would greatly improve megacity metro systems’ service safety, quality and operational efficacy over time.

Previous research concerning automatic extraction of research topics mostly used rule-based or topic modeling methods, which were challenged due to the limited rules, the interpretability issue and the heavy dependence on human judgment. This study aims to address these issues with the proposal of a new method that integrates machine learning models with linguistic features for the identification of research topics.

First, dependency relations were used to extract noun phrases from research article texts. Second, the extracted noun phrases were classified into topics and non-topics via machine learning models and linguistic and bibliometric features. Lastly, a trend analysis was performed to identify hot research topics, i.e. topics with increasing popularity.

The new method was experimented on a large dataset of COVID-19 research articles and achieved satisfactory results in terms of f-measures, accuracy and AUC values. Hot topics of COVID-19 research were also detected based on the classification results.

This study demonstrates that information retrieval methods can help researchers gain a better understanding of the latest trends in both COVID-19 and other research areas. The findings are significant to both researchers and policymakers.

This systematic literature review analyses the determinants and consequences of executive compensation-related shareholder activism and say-on-pay (SOP) votes. The review covers 71 empirical articles published between January 1995 and September 2017. The studies are reviewed within an empirical research framework that separates the reasons for shareholder activism and SOP voting dissent as input factor on the one hand and the consequences of shareholder pressure as output factor on the other. This procedure identifies the five most important groups of factors in the literature: the level and structure of executive compensation, firm characteristics, corporate governance mechanisms, shareholder structure and stakeholders. Of these, executive compensation and firm characteristics are the most frequently examined. Further examination reveals that the key assumptions of neoclassical principal agent theory for both managers and shareholders are not always consistent with recent empirical evidence. First, behavioral aspects (such as the perception of fairness) influence compensation activism and SOP votes. Second, non-financial interests significantly moderate shareholder activism. Insofar, we recommend integrating behavioral and non-financial aspects into the existing research. The implications are analyzed, and new directions for further research are discussed by proposing 19 different research questions.

This study aims to investigate whether and how corporate seniority culture (a form of high power distance or hierarchy), a typical feature of Confucian norms, affects the corporate innovation efficiency in emerging markets.

This study defines and measures seniority culture through the ranking method of independent directors in company’s annual report. Unlike most companies in the USA where directors are listed alphabetically, the ranking of directors in China is meaningful and reflects hierarchy. This study considers a firm with seniority if independent directors are ranked according to their status, including age, social position and political connection. Using data from Chinese listed companies between 2009 and 2013, this study conducts multiple regressions to examine the impact of seniority on innovative efficiency.

The empirical results show that seniority culture is negatively associated with innovative efficiency. Moreover, the negative association between a corporate culture of seniority and innovative efficiency is more pronounced in firms with more male executives and knowledge-intensive firms. Further analysis reveals that seniority culture expands pay disparities among different classes, hinders their enthusiasm to communicate and ultimately damages the corporate efficiency of innovation.

Corporate seniority culture is an essential factor that may hinder employee communication and inhibit innovation efficiency. Therefore, companies should break the identity barrier at different levels and advocate a culture of equality to promote information exchange and knowledge sharing among employees.

This study extends the field of literature on the determinants of corporate innovation efficiency and deepens our theoretical understanding of the negative impact of corporate seniority culture.

The purpose of this study was to examine the influence of adding a small amount of Ti to a Cu-based alloy, specifically the commercial Hyper Titanium Copper alloy (C1990 HP), which contains Cu-3.28 wt.% Ti, on its interfacial reaction with Sn-9.0 wt.% Zn (SnZn) solder, using the liquid/solid reaction couple technique.

The SnZn/C1990 HP couples were subjected to a reaction temperature of 240–270°C for a duration of 0.5–5 h. The resulting reaction couple was characterized using a scanning electron microscope, energy dispersive spectrometer, electron probe microanalyzer and X-ray diffractometer.

It was observed that the scallop-shaped CuZn5 and planar Cu5Zn8 phases were formed in almost all SnZn/C1990 HP couples. With increased reaction duration and temperature, the Cu-rich intermetallic compound (IMC)-Cu5Zn8 phase became a dominant IMC formed at the interface. The total thickness of the IMCs was increased with the increase in the reaction duration and temperature. The IMC growth obeyed the parabolic law, and the IMC growth mechanism was diffusion controlled. The activation energy of the SnZn/C1990 HP couple was 64.71 kJ/mol.

This article presents an analysis of the IMC thickness in each sample using ImageJ software, followed by kinetic analysis using Origin software at various reaction temperatures of SnZn/C1990 HP in liquid/solid couples. The study also includes detailed reports on the morphology, interface composition and X-ray diffraction analysis, as well as the activation energy. The findings can serve as a valuable reference for electronic packaging companies that utilize C1990 HP substrates.

This special issue paper aims to describe the early effects of COVID-19 on auditing in New Zealand, and the subsequent reforms that the authors expect will follow.

The authors use published sources to discuss the impact of COVID-19 on auditing, and potential reforms.

COVID-19 was at first expected to have a substantial impact on audit outcomes such as audit opinions. The effects that eventuated have been much less substantial so far. Nevertheless, the authors expect reforms to auditing to take place, especially including non-audit services, reports on inspections of auditors and more reporting on going concern issues by directors, followed by increased responsibility for auditors. In future, there may be further changes including reform to the liability of auditors, reporting on internal control, more responsibility for fraud and changes to corporate governance.

Limitations include the ongoing nature of the COVID-19 crisis. Further effects may yet eventuate.

Financial report users and auditors should anticipate changes.

This paper provides early evidence of the impact of COVID-19 on New Zealand auditing and predicts changes to the regulation of auditing.

Clothing retrieval is very useful to help the clients to efficiently search out the apparel they want. Currently, the mainstream clothing retrieval methods are attribute semantics based, which however are inconvenient for common clients. The purpose of this paper is to provide an easy‐to‐operate apparels retrieval mode with the authors' novel approach of clothing image similarity measurement.

The authors measure the similarity between two clothing images by computing the weighted similarities between their bundled features. Each bundled feature consists of the point features (SIFT) which are further quantified into local visual words in a maximally stable extremal region (MSER). The authors weight the importance of bundled features by the precision of SIFT quantification and local word frequency that reflects the frequency of the common visual words appeared in two bundled features. The bundled features similarity is computed from two aspects: local word frequency; and SIFTs distance matrix that records the distances between every two SIFTs in a bundled feature.

Local word frequencies improves the recognition between two bundled features with the same common visual words but different local word frequency. SIFTs distance matrix has the merits of scale invariance and rotation invariance. Experimental results show that this approach works well in the situations with large clothing deformation, background exchange and part hidden, etc. And the similarity measurement of Weight+Bundled+LWF+SDM is the best.

This paper presents an apparel retrieval mode based on local visual features, and presents a new algorithm for bundled feature matching and apparel similarity measurement.

As the modern manufacturing twining seamlessly with logistics operations for value adding services, logistics service is becoming more and more significant. Under this research background, the purpose of this paper is to introduce an innovative evaluation model for customer satisfaction using fuzzy analytic hierarchy process (FAHP).

This model uses triangular fuzzy concept to determine the weight of each index so that subjective or objective weighting is addressed. A case study from two large express companies in China is used to demonstrate the feasibility and practicality of the proposed model for examining customer satisfaction.

One of the key findings is that Company B has higher customer satisfaction than Company A due to its quick response and flexible logistics strategy. This paper has several contributions. First, A FAHP-based customer satisfaction evaluation model is proposed for the logistics service. Second, the triangular fuzzy concept is introduced to determine the weight of each index so as to addresses the limitation of subjective or objective weighting method. Third, a case study demonstrates the implementation of the model.

First, this paper considers the fuzzy AHP for the customer satisfaction evaluation. Comparing with other multi-criteria decision-making methods like data envelopment analysis, evidential reasoning approach, and multi-attribute value theory will be carried out in the near future. Second, the manufacturing modes like make-to-order, make-to-stock, and mass-customized production may have different logistics support so that the final products may reach the final targets quickly. How to evaluate various mode-based logistics and their customer satisfactions have great significance. Finally, Big Data-enabled customer satisfaction evaluation approaches may be a possible solution.

Based on the data from questionnaire, it is found that, in practical applications, manufacturing enterprises should amend the index system according to the specific business scope and the production characteristics. Manufacturing enterprises need to collect large amounts of data through market research and conduct the measurement on the related coefficient between the measurement indicators and customer satisfaction degree. After that, they can make sorting and filtering on the measurement index according to the measurement results.

Customer satisfaction is very important to manufacturing and logistics enterprises due to its time constraints. The physical products with services like logistics are paid close attention to by the final customers.

The contribution of this paper is as follows: a FAHP-based customer satisfaction evaluation model is proposed for the logistics service; triangular fuzzy concept is introduced to determine the weight of each index so as to addresses the limitation of subjective or objective weighting method; a case study was used to demonstrate the implementation of the model. One of the key findings is that Company B has higher customer satisfaction than Company B due to its quick response and flexible logistics strategy.

This research investigates when and why lower-level leaders counteract interactional injustice after experiencing injustice from their superiors.

Two scenario-based studies were employed to test the hypotheses.

The enactment of injustice by higher-level leaders was found to increase psychological disidentification among lower-level leaders, prompting them to exhibit higher levels of interactional justice, particularly in contexts where justice is seldom rewarded.

This paper extends trickle-down effects research by demonstrating how reactance can interrupt the transmission of injustice from higher-level leaders, suggesting that a reactance-provoking environment can motivate lower-level leaders to act more justly.

Organizations can mitigate the spread of injustice by enhancing middle-level leaders’ awareness of unjust behaviors and fostering a leadership self-concept that emphasizes interactional justice.

This paper clarifies the reversal of the trickle-down process of interactional injustice, contributing to the literature on trickle-down effects and interactional justice.

The conceptual “model of cultural stereotypes” offers a comprehensive understanding of gendered career choices of higher education students. Rooted in socio-cultural perspectives, the model integrates socialization effects, individual gender ideology and internalized cultural stereotypes to provide a nuanced understanding of career-related orientations. The model addresses the limitations of existing theories by recognizing the interplay between individual, institutional and cultural factors. It emphasizes the impact of societal values, norms and prevailing gender roles on career decisions. Empirical validation through a large-scale survey at a German research university underscores the efficacy of the model. The chapter also explores theoretical, methodological and practical implications to guide researchers and practitioners in advancing a contextually informed approach to understanding and addressing gender disparities in career decisions and differences regarding certain occupational fields.

This paper aims to design and analyze implicit/explicit/semi-implicit schemes and a universal error estimator within the Generalized Single-step Single-Solve computational framework for First-order transient systems (GS4-I), which also fosters the adaptive time-stepping procedure to improve stability, accuracy and efficiency applied for fluid dynamics.

The newly proposed child-explicit and semi-implicit schemes emanate from the parent implicit GS4-I framework, providing numerous options with flexible and controllable numerical properties to the analyst. A universal error estimator is developed based on the consistent algorithmic variables and it works for all the developed methods. Applications are demonstrated by merging the developed algorithms into the iterated pressure-projection method for incompressible Navier–Stokes equations.

The child-explicit GS4-I has improved solution accuracy and stability properties, and the most stable option is the child explicit GS4-I(0,0)/second-order backward differentiation formula/Gear’s methods, which is new and novel. Numerical tests validate that the universal error estimator emanating from implicit designs works well for the newly proposed explicit/semi-implicit algorithms. The iterative pressure-correction projection algorithm is efficiently fostered by the error estimator-based adaptive time-stepping.

The implicit/explicit/semi-implicit methods within a unified computational framework are easy to implement and have flexible options in practical applications. In contrast to traditional error estimators, which work only on an algorithm-by-algorithm basis, the proposed error estimator is universal. They work for the entire class of implicit/explicit/semi-implicit linear multi-step methods that are second-order time accurate. Based on the accurately estimated local error, balance amongst stability, accuracy and efficiency can be well achieved in the dynamic simulation.

Given the complexity of building information modeling (BIM) adoption decisions in small- and medium-sized enterprises (SMEs) in the Architecture, Engineering and Construction (AEC) industry, understanding BIM adoption decision-making through the net effect of a single factor on BIM adoption decisions alone is limited. Therefore, this paper analyzed the co-movement effect of managers' psychological factors on the BIM adoption decisions from the perspective of managers' perceptions. The purpose is to let managers have a deep understanding of their BIM adoption decisions, and put forward targeted suggestions for the AEC industry to promote the adoption of BIM by SMEs.

Data from 192 managers in SMEs collected by the questionnaire were used in a fuzzy set qualitative comparative analysis (fsQCA). Due to the limitations of fsQCA in making the best use of the data used, as a complement to fsQCA, necessary conditions analysis (NCA) was used to analyze the extent to which necessary conditions influenced the outcome.

(1) NCA analysis shows that high perceived resource availability (PRA) and high performance expectancy (PE) are necessary conditions for high BIM adoption intention (AI). (2) fsQCA analysis shows that high PE is the single core condition for high AI. fsQCA analysis identifies three configurations of managers' psychological factors, reflecting three types of managers' decision preferences, namely benefit preference, loss aversion and risk avoidance, respectively. Different decision preferences may lead to different BIM adoption strategies, such as full in-house use, partial in-house/outsourcing and full outsourcing of BIM processes. (3) High perceived risk (PR) and low perceived business value of BIM (PBV) are the core conditions for low AI.

This paper expands on the application of fsQCA to context of BIM adoption decisions. Based on the results of fsQCA analysis, this paper also establishes the relationship between managers' decision-making psychology and BIM adoption strategy choice and analyzes the impact of different decision biases on BIM adoption strategy choice. It concludes with suggestions for encouraging managers to adopt BIM and for avoiding decision-making bias.

Designers must recognise the significance of a brand logo’s visual elements as they convey various meanings. While studies have attempted to collate visual elements, efforts have often been limited to specific types of visual elements (e.g. typefaces) or restricted to certain product categories. This study aims to conceptualise a comprehensive list of visual elements used in brand logos and to validate it based on the top 500 global brand logos across eight product categories.

A comprehensive list was conceptualised through a combination of literature review, interviews with experts and observations of real brand logos. Using this exhaustive compilation, content analysis of the top 500 global brand logos was conducted to discern the prevalent trends of the visual elements in logos across various product categories.

The content analysis results highlighted an extensive preference for use of wordmark, no outline and horizontal proportion in brand logos. Overall, 42.6% and 31% of brands preferred using cool and neutral colours, respectively. Moreover, the preference for colour categories (warm/cool/neutral), font types (organic/geometric) and stacking of elements (horizontal/vertical/diagonal) varied across product categories.

This study contributes to the literature by creating a comprehensive guidebook of visual elements of logos. It also offers guidance to in-house and third-party designers of companies for logo design to better understand the nuances of intellectual property related to logo elements and assists managers in comparing their brands’ visual identity with those of their competitors.