Tachia Chin, Yi Shi, Rosa Palladino and Francesca Faggioni
Cross-cultural cognitive paradoxes have frequently broken the existing boundaries of knowledge and stimulated demands for knowledge creation (KC), and such paradoxes have…
Abstract
Purpose
Cross-cultural cognitive paradoxes have frequently broken the existing boundaries of knowledge and stimulated demands for knowledge creation (KC), and such paradoxes have triggered and will continue to trigger novel risks in the context of international business (IB). Given the nascency of relevant issues, this study aims to develop a more comprehensive understanding of KC across cultures by proposing a Yin-Yang dialectical systems theory of KC as micro-foundation to more systematically frame the risk/paradox-resolving mechanism elicited by cultural collisions.
Design/methodology/approach
This paper is conceptual in nature. The authors first critically review the literature to lay a broad theoretical foundation. Integrating the philosophy- and praxis-based views, the authors reposition knowledge as a Yin-Yang dialectical system of knowing, with yin representing the tacit while yang represents the explicit. Next, the authors justify the underling logic of realising KC through a contradiction-resolving process. On this basis, the authors draw upon the Yijing’s Later Heaven Sequence (LHS) as the source domain of a heuristic metaphor to reconceptualise KC as a dynamic capability in the IB context.
Findings
Using the LHS paradigm to metaphorically map the intricate patterns of interaction and interconnectivity among the involved individuals, organisations and all related stakeholders, this research identifies and theorises the overall dynamic capability of KC in the IB context, which comprises five sets of processes: contradiction, conflict, communication, compromise and conversion.
Practical implications
This research highlights that KC is simultaneously activated and constrained by human actions as well as by the socially constructed context in which it emerges, which helps individuals, organisations and policy makers more clearly frame the novel risks induced by cross-cultural cognitive conflicts in the IB context.
Originality/value
The authors synthesise Yin-Yang dialectics with the approach of collective phronesis, proposing a novel, praxis-oriented Yin-Yang dialectical systems theory of KC. It provides a deeper understanding of the epistemological paradox inherent in all knowledge, thus enabling KC to be rationalised by a sounder logical reasoning. By fusing the macro and micro perspectives on KC, the authors also enrich existing theory and future theory building in the domain of knowledge management.
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Inyoung Jung, Jiachen Li, Seongseop (Sam) Kim and Heesup Han
The outdoor event market was devastated during the COVID-19 pandemic because of social distancing measures. Therefore, this study aimed to explore stereotyped tendencies and…
Abstract
Purpose
The outdoor event market was devastated during the COVID-19 pandemic because of social distancing measures. Therefore, this study aimed to explore stereotyped tendencies and behavioral intentions associated with the prosocial and sustainable practices of outdoor event participants to assess shifts in industry paradigms.
Design/methodology/approach
This study adopted structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to relatively examine sequential and combined effects of cognitive (knowledge of COVID-19, awareness of consequences, ascribed responsibility and perceived threat of COVID-19), affective (positive and negative anticipated emotions) and normative drivers (social and moral norms) on intention to practice social distancing requirements. The impact of cultural differences was further explored by comparing attendees from China and USA.
Findings
The SEM results showed that most cognitive drivers significantly affected affective drivers and normative drivers, leading to the intention to practice social distancing requirements. In addition, China and the USA showed significant differences on six paths including the path from moral norm to intention to practice social distancing requirements. Further, fsQCA results revealed the important combination of the factors that affects social distancing intention.
Research limitations/implications
This study provides meaningful theoretical and practical implications for outdoor events scholars and managers. The research suggests a changing direction in event studies and shares ideas on how to manage and make outdoor events a new success after the pandemic.
Originality/value
This is the first study to adopt a mixed method of SEM and fsQCA attempt to explore the driving forces of outdoor participants’ pro-social behavior from cognitive, affective and normative perspectives.
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Heesup Han, Seongseop (Sam) Kim, Tadesse Bekele Hailu, Amr Al-Ansi, Sandra Maria Correia Loureiro and Jinkyung Jenny Kim
This research paper aims to explore the concerns and determinants of travelers’ behavior toward ChatGPT in the hospitality and tourism context. It also examines the weight of risk…
Abstract
Purpose
This research paper aims to explore the concerns and determinants of travelers’ behavior toward ChatGPT in the hospitality and tourism context. It also examines the weight of risk factors versus that of motivation and innovation characteristics influencing travelers’ approach behaviors toward ChatGPT.
Design/methodology/approach
A cumulative prospect theory was used to determine travelers’ responses to ChatGPT. This study, using a fuzzy-set qualitative approach, explored risk, motivation and innovation factors as determinants of approach behaviors for ChatGPT.
Findings
Findings revealed that risk, motivation and innovation factors were the key triggers of approach behaviors for ChatGPT. An intricate combination effect of the perceived risk, motivation and innovation characteristics was found, and the necessary predictors were determined.
Practical implications
The findings of this study will expand our current knowledge and offer practical insights for the development of ChatGPT in the hospitality and tourism sector.
Originality/value
This study makes a significant contribution to the existing literature by providing a nuanced understanding of the intricate interplay between the various factors that shape customer behavior in the context of technology adoption in hospitality and tourism studies.
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Narendra Gariya, Amir Shaikh, Anzar Ahmad, Kapil Sharma and Ashwini Sharma
Supply chain management (SCM) has evolved to fulfill the demands of the dynamic global business environment. The development of the Internet of Things (IoT), which offers…
Abstract
Supply chain management (SCM) has evolved to fulfill the demands of the dynamic global business environment. The development of the Internet of Things (IoT), which offers unmatched connectivity and real-time data insights, has further transformed SCM. This chapter provides an overview of SCM development and its integration with IoTs. This integration led to improved inventory control, supply chain optimization (SCO), and visibility which further enhances the conventional SCM and provides benefits, such as more accurate real-time tracking and monitoring, improved data analytics, more efficient logistics and transportation management, and reduced costs and wastages. However, despite these benefits, there are various associated challenges and concerns, like privacy and data security, compatibility and interoperability, implementation costs, returns on investment, trained workforce, and training requirements, which are required to be addressed. Additionally, the outcomes of this study and managerial implications are provided along with the future research scope. Overall, this chapter provides valuable insight into the transformative potential of IoT in SCM and practical suggestions on how managers can successfully navigate difficulties and get benefits from the IoT-SCM integration. Organizations can enhance their supply chain operations, efficiency, and innovation by actively confronting challenges and taking advantage of the opportunities provided by IoT technologies. This will ultimately result in the delivery of greater value to both stakeholders and customers.
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Huagang Tong, Chaoge Nie and Song Wang
The purpose of this study is to propose a customer-oriented method for locating charging stations based on queue theory.
Abstract
Purpose
The purpose of this study is to propose a customer-oriented method for locating charging stations based on queue theory.
Design/methodology/approach
We first integrate queuing theory with customer satisfaction to analyze the composition of charging stations. Next, we examine both functional and spatial coordination among these stations. Finally, we develop an enhanced genetic algorithm incorporating flying levy and self-adaptive mechanisms.
Findings
Our findings indicate that the customer-oriented approach significantly boosts customer satisfaction. Additionally, improved coordination enhances the feasibility of the charging stations and analyzing the investment payback period contributes to increased profitability.
Originality/value
This research uniquely applies queue theory to the selection of charging stations, explores the dynamics of coordination and investigates the payback period of investments.
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Chun Yang, Bart Bossink and Peter Peverelli
Building on resource dependence theory and the dynamic institution-based view, this paper examines the influence of government affiliations on firm product innovation in a dynamic…
Abstract
Purpose
Building on resource dependence theory and the dynamic institution-based view, this paper examines the influence of government affiliations on firm product innovation in a dynamic institutional environment.
Design/methodology/approach
Using unique panel data of Chinese manufacturing firms covering a period of 12 years (1998–2009) with 2,564,547 firm-year observations, this study chooses the panel Tobit model with random effects to explore the influence of government affiliations on firm product innovation, followed by an analysis to test the moderation effects of dynamic institutional environments.
Findings
The study findings suggest that Chinese firms with higher-level government affiliations have a relatively high product innovation performance. It finds that this innovation stimulating effect is contingent on the dynamic nature of the institutional environment. To be specific, a high speed of institutional transition may depress the positive innovation effects of government affiliations, while a more synchronized transition speed of institutional components may enhance the positive innovation effects of firms' government affiliations.
Originality/value
This study adds to a better understanding of the drivers of product innovation in Chinese firms that are situated in environments that are characterized by institutional change, using and contributing to resource dependence theory and the dynamic institution-based view.
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Although artificial intelligence (AI) is an essential component of hospitality in the technological empowerment era, AI’s effectiveness as an attraction in this context remains…
Abstract
Purpose
Although artificial intelligence (AI) is an essential component of hospitality in the technological empowerment era, AI’s effectiveness as an attraction in this context remains unclear. Grounded in Herzberg’s motivation theory and complexity theory, this study aims to explore configurational paths whereby combinations of qualities lead to success for different types of AI-themed hotels.
Design/methodology/approach
This study innovatively blends topic modeling and fuzzy-set qualitative comparative analysis (fsQCA) to investigate configurational paths whereby combined qualities produce positive guest evaluations of 12 AI-themed hotels as evidenced by 7,431 customer reviews.
Findings
The results indicate that AI could serve as a “theme” to attract customers under certain circumstances. First, “attractive” and “must-be” qualities are first identified for different types of AI-themed hotels. Furthermore, 6, 15 and 15 configurational paths inspiring favorable guest evaluations of luxury-independent, budget-independent and chain AI-themed hotels, respectively. Technology-related qualities are found to be especially attractive for luxury-independent AI-themed hotels, whereas the role of technology is minimal for budget AI-themed hotels. The impact of technology is salient for chain AI-themed hotels when combined with other factors. In addition, the effect of price differs among the configurational paths for the three hotel types.
Research limitations/implications
This study expands the understanding of AI applications within the hospitality context by exploring the role of AI in AI-themed hotels and comparing its effectiveness in attracting customers across various hotel types. It also provides operational strategies for adopting AI for different types of hotels and for other hospitality and tourism sectors.
Originality/value
This study represents an early attempt to integrate topic modeling and fsQCA to clarify customers’ perceptions of AI-themed hotels and the combined impacts of various qualities. The findings expand on Kano’s model by classifying technology-related qualities into attractive qualities within AI-themed hotels.
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Cemil Kuzey, Ali Uyar, Habiba Al-Shaer and Abdullah S. Karaman
In addition to financial performance, firms are increasingly trying to obtain a social reputation from their corporate social responsibility (CSR) engagement within society due to…
Abstract
Purpose
In addition to financial performance, firms are increasingly trying to obtain a social reputation from their corporate social responsibility (CSR) engagement within society due to reputational benefits. Thus, the authors seek to highlight two facilitators of social reputation which may help firms realize their targets. Hence, drawing on the signaling, stewardship and legitimacy theories, this study aims to investigate whether chief executive officer (CEO) power and firm visibility help translate CSR engagement into greater social reputation, proxied by CSR awarding.
Design/methodology/approach
Adopting a cross-country and cross-industry sample of 52,549 observations between 2002 and 2021, the authors run a fixed effects regression analysis.
Findings
The authors found that greater CSR engagement leads to better social reputation. Furthermore, CEO power and greater firm visibility foster a positive association between CSR engagement and social reputation. The results are robust to endogeneity concerns, which were addressed by propensity score matching, entropy balancing, instrumental variable regression analysis, alternative samples and regulatory changes.
Practical implications
Although the CEOs’ power is severely criticized in the corporate governance literature due to its weakening effect on board monitoring ability, the authors found that it is beneficial for firms seeking to improve their social reputation. This outcome may help firms shape their upper management structure for greater social reputation gains from CSR engagement. Furthermore, more visible firms achieve greater social reputation through their CSR engagement, which could help managers co-consider firms’ advertising–CSR awarding engagements and budget their financial resources accordingly.
Originality/value
Increasing the CSR engagement of firms has prompted investigations into how firms may better benefit from this investment. However, despite considerable research interest in the financial return of CSR engagement, the social reputation that firms derive from CSR engagement has not been sufficiently addressed. Thus, the authors examine whether two corporate mechanisms, CEO power and firm visibility, could help firms translate CSR engagement into improved social reputation, proxied by CSR awarding.
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Abdulaziz Ahmad, Weidong Wang, Shi Qiu, Wenjuan Wang, Tian-Yi Wang, Bamaiyi Usman Aliyu, Ying Sun and Abubakar Sadiq Ismail
Unlike previous research that primarily utilized structural equation modelling (SEM) to evaluate safety hazards in subway projects, this research aims to utilize a hybrid approach…
Abstract
Purpose
Unlike previous research that primarily utilized structural equation modelling (SEM) to evaluate safety hazards in subway projects, this research aims to utilize a hybrid approach to investigate and scrutinize the key indicators of safety hazards leading to accidents, thereby hindering the progress of subway projects in China, taking into cognizance the multiple stakeholder’s perspective.
Design/methodology/approach
By administering a survey questionnaire to 373 highly involved stakeholders in subway projects spanning Changsha, Beijing and Qingdao, China, our approach incorporated a four-staged composite amalgamation of exploratory factor analysis (EFA), confirmatory factor analysis (CFA), covariance-based structural equation modelling (CB-SEM) and artificial neural network (ANN) to develop an optimized model that determines the causal relationships and interactions among safety hazards in subway construction projects.
Findings
The optimized model delineated the influence of individual safety hazards on subway projects. The feasibility and applicability of the model developed was demonstrated on an actual subway project under construction in Changsha city. The outcomes revealed that the progress of subway projects is significantly influenced by risks associated with project management, environmental factors, subterranean conditions and technical hazards. In contrast, risks related to construction and human factors did not exhibit a significant impact on subway construction progress.
Research limitations/implications
While our study provides valuable insights, it is important to acknowledge the limitation of relying on theoretical approaches without empirical validation from experiments or the field. In future research, we plan to address this limitation by assessing the SEM using empirical data. This will involve a comprehensive comparison of outcomes derived from CB-SEM with those obtained through SEM-ANN methods. Such an empirical validation process is crucial for enhancing the overall efficiency and robustness of the proposed methodologies.
Originality/value
The established hybrid model revealed complex non-linear connections among indicators in the intricate project, enabling the recognition of primary hazards and offering direction to improve management of safety in the construction of subways.
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Tianfeng Shi, Rong Huang and Emine Sarigollu
This research aims to investigate the relationship between internal motivations and consumer upcycling intention, and how these motivations relate to purchase intention of…
Abstract
Purpose
This research aims to investigate the relationship between internal motivations and consumer upcycling intention, and how these motivations relate to purchase intention of upcycled products.
Design/methodology/approach
This research is based on an online survey with a sample of 470 US consumers. Structural equation modeling with Mplus was applied to test the proposed relationships.
Findings
Perceived competence is the strongest internal motivation related to consumer upcycling intention, followed by waste prevention and frugality. Consumers who have motivations of waste prevention, social connectedness and emotional attachment for consumer upcycling have higher intention to purchase upcycled products.
Research limitations/implications
The generalizability of the findings might be limited due to the US-based survey sample. Future research could validate and extend these findings in different cultural contexts.
Practical implications
The findings enable policymakers and business practitioners in the circular economy to develop effective strategies to promote consumer upcycling as well as the purchase of upcycled products.
Originality/value
First, this research addresses the dearth of literature studying upcycling and the broader circular economy from the demand side (i.e. the consumer). Second, by identifying perceived competence as the strongest internal motivation for consumer upcycling, this research offers a new perspective on how to promote consumer upcycling. Third, by demonstrating that certain internal motivations for consumer upcycling can explain purchase intention of upcycled products, this research validates for the first time the connection between consumer upcycling and upcycling businesses empirically.