Search results

The construction industry faces public criticism for issues like wastefulness, inefficiency, slim profits, scheduling setbacks, budget overruns, quality concerns, trust deficits, transparency, coordination, communication and fraud. This paper aims to assess the nexus between barriers and drivers for adopting blockchain in construction and its impact on construction lifecycle.

A quantitative research approach was used to collect data using a well-structured questionnaire survey. The survey, which used snowball sampling, included 155 Nigerian construction experts that included architects, builders, quantity surveyors and engineers in the built environment. The data were analysed using partial least squares structural equation modelling (PLS-SEM), which allowed for a thorough evaluation of the proposed relationships as well as industry-specific insights.

The study's findings validate the conceptual framework established. The results indicate that implementing blockchain across all stages of construction projects has the potential to improve the construction process by 88.2% through its drivers. However, there were no significant relationships found between the barriers to adopting blockchain and the potential application areas in the construction lifecycle.

This research was carried out in the South-western which is one of the six geo-political zones/regions in Nigeria, using a cross-sectional survey method. The study did not investigate the interdependence of the identified categories of drivers and barriers, limiting a comprehensive understanding of the complex dynamics and interactions influencing blockchain adoption in construction. The study is expected to stimulate further exploration and generate new insights on how blockchain technology (BT) can influence various stages of the construction lifecycle.

The findings will be immensely beneficial to both professionals and practitioners in the Nigerian construction industry in learning about the potential of BT application in improving the construction lifecycle.

This paper developed and assessed a conceptual framework by investigating the interrelationships between the constructs. The findings have important implications for the construction industry, as they offer opportunities to improve the construction process and overall lifecycle. The findings are useful for researchers interested in the potential impact of BT on the construction lifecycle and its wider implications.

Using surveys of Amazon and Tmall Global users, this paper aims to empirically investigate the issue of platform technological selection. We explore the impact of switching costs on users’ intentions to use an app-enabled cross-border e-commerce (CBEC) platform based on an extended technology acceptance model (TAM). The results suggest that the higher the switching cost of a platform is, the greater the users’ satisfaction and intention to use this platform. Therefore, for the platform, a moderate switching cost will be beneficial for retaining users.

Based on the TAM, this paper takes the switching costs as the starting point and focuses on exploring the relationships among switching costs, perceived usefulness, perceived ease of use, perceived reliability, satisfaction and intention to use. Online surveys of users of Amazon and Tmall Global are adopted as the main instruments of this research. We collected a total of 408 valid responses from Amazon users and 490 from Tmall Global users. For the data analysis, this study conducts frequency analysis, a test analysis of the reliability and validity of the measures, correlation analysis, and path analysis using a structural equation model.

The results show that switching costs positively affect the users’ satisfaction and intentions to use a CBEC platform through perceived usefulness, perceived ease of use and perceived reliability.

The questionnaire respondents were predominantly Chinese due to the constraints of the survey conditions. In fact, China has a high penetration rate in CBEC, and Chinese users have rich experience using the Amazon and Tmall Global platforms.

The development of CBEC has ups and downs, and users frequently switch platforms. Considering how platforms can stand out from the crowd and retain users, we believe that a moderate increase in the switching cost of the platform is helpful for companies to address these problems, and the implications of the results are particularly valid for decision-makers of CBEC platforms and companies.

Amazon and Tmall Global are the two largest CBEC platforms in the world. Using these two companies as examples for comparison can effectively identify the differences between the platforms and the conclusions are representative. We suggest that platforms can improve user satisfaction and willingness to use by establishing VIP communities, issuing coupons, providing shipping services as well as convenient after-sale complaint channels, and improving the platform’s easy-to-use interface, as ways to further enable the platform to retain more users and stand out in fierce competition.

This paper addresses an interesting and practical issue related to the effects of introducing switching costs in an extended TAM applied to CBEC platforms.

The paper investigates factors that contribute to small and medium enterprises (SMEs) surviving major exogenous shocks. Global crises such as the coronavirus disease 2019 (COVID-19) have increasingly heightened scholarly interest in post-crises responses. However, studies that compare the relative responses to external shocks and the outcomes for SMEs operating in different institutional settings are limited. We examine the relative degrees of success European and African SMEs experienced in avoiding the worst consequences of the COVID-19 pandemic.

We use the resource dependency theory (RDT) with variants of institutional theory since the RDT has been shown in practice to have greater explanatory power when used in this way. We augment our framework with a feminist theory dimension. To test our hypotheses, we apply regression analyses using cross-sectional data from the World Bank Enterprise Surveys (WBES), which include responses from private enterprises in 26 European and eight African countries. We construct our data by combining the COVID-19 follow-up surveys with relevant firm-specific characteristics from the WBES conducted in 2020–2021 using firm-specific unique IDs. After removing the firms with missing observations, the sample number of SMEs is 15,178.

Our empirical findings support the theoretically posited positive effects of innovativeness, institutional connectedness and governance capability on SMEs’ survival in the face of external shocks. Further, we confirm the importance of firm-specific characteristics (financial status, size and age) for SMEs’ survival. Female-owned SMEs are more likely to suffer during COVID-19, especially in Africa. The results are more nuanced when we consider industry specificity and heterogeneity of government support.

Our article helps answer the theoretical (and policy-relevant) question of whether SMEs that are resilient to major exogenous shocks may share certain characteristics despite operating in different institutional environments. If that is so, then it may be that lessons from one continent may have at least some relevance for the other. Our approach’s broad value lies in its capacity to test the degree to which established bodies of theory developed in the Northern Hemisphere may be deployed in Africa, well beyond the contexts which provided their initial empirical basis. This paper also contributes to the literature on the effect of environmental-change shocks on entrepreneurship performance outcomes.

The purpose of this study is to examine the impact of sustainable supply chain management (SSCM) practices on both competitive advantage (CA) and organizational performance (OP) in the manufacturing sector in Ethiopia.

Data for the study were collected from a sample of 221 manufacturing companies operating in the four manufacturing groups/sectors in Ethiopia. In addition, data analysis was performed using the partial least squares method, which is a variance-based Structural Equation Modeling approach in the Smart-PLS software version (SmartPLS 4.0).

Based on the statistical analysis of the collected data, it demonstrates that SSCM has a significant and positive impact on both competitive advantage and organizational performance. Furthermore, statistical findings offer proof of the clear connection between competitive advantage and organizational performance. Moreover, competitive advantage indirectly mediates the relationship between SSCM and OP.

The primary limitation of this research is its reliance on a cross-sectional design. The generalizability of the findings obtained from the present study may be hindered. The variable under investigation in this research assessed organizational performance, a concept that is widely acknowledged to be extremely dynamic.

The study provides managers and researchers with valuable information on Sustainable Supply Chain Management strategies and how they influence competitive advantage and organizational performance in commercial and industrial environments.

This paper adds to the body of knowledge by providing new data and empirical insights into the relationship between SSCM practices and the performance of manufacturing companies in Ethiopia.

With an emphasis on the moderating impact of trust, this study examines determinants influencing the purchase intentions of young consumers in augmented reality (AR) shopping platforms. This research study aims to pinpoint essential elements, including the enjoyment dimensions (i.e. entertainment, visual appeal and hedonic component) and practicality dimensions [i.e. informativeness, navigation and perceived usefulness (PU)], that are imperative in influencing young consumers’ purchase intentions in AR-based shopping platforms.

The present study used a quantitative approach grounded in the stimulus-organism-response model and the extended technology acceptance model, which analysed purchase intention among the youth using AR shopping platforms. One hundred seventy-two samples were gathered through self-administered questionnaires and underwent partial least squares structural equation modelling analysis to predict the relationships between the proposed variables.

The results of the current study suggested the independent variables (e.g. entertainment, visual appeal, informativeness and navigation) had a significant impact on hedonic components and PU. Furthermore, both hedonic components and PU had a significant and positive influence on purchase intention. Nevertheless, it is noteworthy that hedonic components and PU in relation to purchase intention were not moderated by trust.

The developed research framework is significant for understanding the perceptions of shopping behaviour among young consumers in the Borneo region of Malaysia. This is one of the few studies that explored the interplay between enjoyment and practicality’s dimensions on purchase intention via AR shopping platforms in the less explored region of Malaysia. Hence, this study plays a pivotal role in contributing to the existing marketing and technology management literature. Moreover, it holds practical importance for business operators and marketers as it aids in decision-making and strategic planning for the future direction of businesses in the young consumer market.

This paper investigates whether disclosure quality and a history of overpaying for acquisitions are associated with differences in the value-relevance of gains on bargain purchase with high disclosure prominence.

Findings are from multivariate regression results, using a sample of firms listed in South Africa from 2010 to 2019, where a mandatory earnings reconciliation provides high disclosure prominence for gains on bargain purchase.

Given high disclosure prominence, disclosure quality is not associated with differences in the pricing of gains on bargain purchase. Instead, most gains on bargain purchase are priced as future losses (unrecognised liabilities). However, when a firm has a history of overpaying for acquisitions, gains on bargain purchase are priced as transitory economic gains.

Further research is required to determine if overpaying for acquisitions similarly communicates the credibility of gains on bargain purchase when disclosure prominence is low.

Disclosure prominence can reduce disclosure processing costs and increase the value-relevance of complex acquisition accounting. High disclosure quality cannot compensate for a weak acquisition track record.

Findings deepen our understanding of the pricing of gains on bargain purchase. This paper presents empirical results that reconcile previously conflicting theoretical views of gains on bargain purchase (as unrecognised assets or as unrecognised liabilities), by shedding light on the role that a record of overpaying for acquisitions plays in the value-relevance of gains on bargain purchase.

Through a feminist lens, the study explores women’s experiences of entrepreneurial leadership in the UK and how the women manage competing and contrary patriarchal and individualism discourses and associated discursive paradox.

This study follows social constructionism and Feminist Standpoint Research approach, providing space for women to voice and contextualise lived experiences from multiple standpoints. The study comprises five cases of women entrepreneurs in IT, law, construction, beauty and childcare, using a two-stage semi-structured interview process analysed through discourse analysis.

This study provides new insights into the entrenched patriarchal socio-cultural context for women entrepreneurial leaders in the UK. The competing discourses provoke a discursive paradox, which dominates and oppresses women. This is managed through a process of discursive blending, blurring and merging contrary discursive expectations. The women use the individualism discourse to obscure patriarchy’s domination and as a resource to resist patriarchal gender power relations. To blend the discourses, the women use particular tactics: engaging in patriarchal bargains, such as “dressing not to impress”; can sidestep and manoeuvre these bargains and can utilise “patriarchal advantages”, turning gender oppression into benefits by “working it positively”.

This study addresses the lack of research interrogating patriarchy in the Global North and the absence of understandings of how women entrepreneurial leaders manage the competing and contrary discourses of patriarchy and individualism, which actively shape their experiences. The study illuminates the significance and increasing requirement for feminism to disrupt the ever-increasing power of patriarchy in entrepreneurship.

This paper aims to explore the possible forms and characteristics of an artificial intelligence (AI) leader and discuss the potential applications of AI in political leadership and governance.

A categorization system consisting of three categories – the level of responsibility, the voting system and the bindingness of the AI’s decisions – was developed to better understand the various types of AI leaders. Additionally, to identify the main characteristics of an AI leader, a comprehensive literature review was conducted. The themes from the literature were then categorized and supplemented with additional discussions.

This paper identifies several potential AI leaders, including the AI President, the AI Dictator, the AI Minister and the AI Consultant. The key characteristics of an AI leader were also discussed. The primary strengths of AI lie in their intelligence and rationality, which could potentially lead our societies toward a peaceful and prosperous future. However, a significant drawback of AI is that it will always be limited by the capabilities and intentions of its programmer, whether human or AI.

Understanding the forms and characteristics of AI leaders may help policymakers and decision-makers explore the possibilities of integrating AI into political leadership and governance.

This paper contributes to the emerging field of AI in governance by exploring the forms and characteristics of AI leaders and discussing their potential applications in political leadership.

The paper aims to develop a cogent and coherent research instrument to measure the effect of good citizenship actions by corporations on the commitment of their employees through micro-level research (i.e. based on the perceptions of employees’ themselves).

A three-phase modus operandi has been used, where at first scale, items have been phrased from a methodical review, then arranged and finally validated by factor analysis. For this, 240 forms filled out by the top-notch executives of selected Indian family conglomerates have been analysed through a split-sample approach.

The results of exploratory factor analysis and confirmatory factor analysis uncover and underpin three building blocks (employee fidelity, immersion and perseverance) and indicate 14 indicators to reflect employees’ strong commitment on account of corporation’s citizenship endeavours.

This measurement catalyst would function as a panacea while addressing the existing methodological gap (by conducting an all-inclusive micro-level exploration), conceptual gap (using the “extended view” of corporate citizenship) and contextual gap (through culture-specific examination). Also, it could complement the earlier macro-level investigations.

It would realistically support corporate practitioners in identifying how their good deeds of citizenship have been affecting the diverse sides of commitment among their most valued yet overlooked assets.

Corporate citizenship, a concept that has by now theoretical relevance for a company’s internal stakeholders and on the commitment, they manifested, can nonetheless obtain empirical significance as well through this micro-level instrument by divulging employees’ underlying facets of commitment.

This study investigates the influence of corporate culture on financial reporting transparency within Iranian firms.

Leveraging a dataset of 1,480 firm-year observations from the Tehran Stock Exchange spanning from 2013 to 2022, the study employs text mining to quantify linguistic features of corporate culture and transparency, specifically readability and tone, within annual financial statements and Management Discussion and Analysis (MD&A) reports.

Our results confirm a positive and significant relationship between corporate culture and financial reporting transparency. The distinct dimensions of corporate culture — Creativity, Competition, Control, and Collaboration — each uniquely enhance financial transparency. Robustness tests including firm fixed-effects, entropy balancing, Generalized Method of Moments (GMM), and Propensity Score Matching (PSM) validate the profound influence of corporate culture on transparency. Additionally, our analysis shows that corporate culture significantly affects the disclosure of business, operational, and financial risks, with varying impacts across risk categories. Cross-sectional analysis further reveals how the impact of corporate culture on transparency varies significantly across different industries and firm sizes.

The study’s scope, while focused on Iran, opens avenues for comparative research in different cultural and regulatory environments. Its reliance on text mining could be complemented by qualitative methods to capture more nuanced linguistic subtleties.

Findings underscore the strategic importance of cultivating a transparent corporate culture for enhancing financial reporting practices and stakeholder trust, particularly in emerging economies with similar dynamics to Iran.

This research is pioneering in its quantitative analysis of the textual features of corporate culture and its impact on transparency within Iranian corporate reports, integrating foundational theoretical perspectives with empirical evidence.