Collections in this community

Recent Submissions

  • Democracy under God: Constitutions, Islam and Human Rights in the Muslim World

    Ahmed, D.; Abbasi, Muhammad Z. (Cambridge University Press, 2023-02)
    The place of Islam in constitutions invites fierce debate from scholars and politicians alike. Many of these debates assume an inherent conflict between constitutional Islam and 'secular' values of liberal democracy and human rights. Using case studies from several Muslim-majority states, this book surveys the history and role of Islam in constitutions. Tracing the origins of constitutional Islam, Dawood Ahmed and Muhammad Zubair Abbasi argue that colonial history and political bargaining were pivotal factors in determining whether a country adopted Islam, and not secularism, in its constitution. Contrary to the common contention that the constitutional incorporation of Islam is generally antithetical to human rights, Ahmed and Abbasi show not only that Islam has been popularly demanded and introduced into constitutions during periods of 'democratization' and 'modernization' but also that constitutional Islamization has frequently been accompanied by an expansion in constitutional human rights.
  • How privacy practices affect customer commitment in the sharing economy: A study of Airbnb through an institutional perspective

    Chen, S.; Tamilmani, Kuttimani; Tran, K.T.; Waseem, Donia; Weerakkody, Visanth J.P. (Elsevier Inc., 2022-11)
    Privacy is an emerging issue for home-sharing platforms such as Airbnb. Home-sharing providers (business customers) are subject to both digital privacy risks (e.g., data breaches and unauthorized data access) and physical privacy risks (e.g., property damage and invasion of their personal space). Therefore, platforms need to strengthen their institutions of privacy management to protect the interests of providers and maintain their commitment. By applying the micro-level psychological aspect of institutional theory, our research investigates how providers decide their level of commitment to a platform by evaluating the institutions of the platform’s privacy management. Our survey recruited 380 Airbnb providers from the Prolific panel. Structural equation modeling analysis shows that both physical and digital privacy practices strengthen providers’ legitimacy judgment of the platform’s privacy management and subsequently increase their commitment to the platform. Our theoretical contribution lies in revealing the effects of physical and digital privacy practices on B2B relationships from an institutional perspective. Our research is among the first to provide an integrative framework illustrating providers’ psychological process of legitimacy judgement. It also has practical implications for sharing economy platforms to manage privacy.
  • A dynamic performance evaluation of distress prediction models

    Mousavi, Mohammad M.; Ouenniche, J.; Tone, K. (2022)
    So far, the dominant comparative studies of competing distress prediction models (DPMs) have been restricted to the use of static evaluation frameworks and as such overlooked their performance over time. This study fills this gap by proposing a Malmquist Data Envelopment Analysis (DEA)-based multi-period performance evaluation framework for assessing competing static and dynamic statistical DPMs and using it to address a variety of research questions. Our findings suggest that (1) dynamic models developed under duration-dependent frameworks outperform both dynamic models developed under duration-independent frameworks and static models; (2) models fed with financial accounting (FA), market variables (MV), and macroeconomic information (MI) features outperform those fed with either MVMI or FA, regardless of the frameworks under which they are developed; (3) shorter training horizons seem to enhance the aggregate performance of both static and dynamic models.
  • Dividend policy, systematic liquidity risk, and the cost of equity capital

    Mazouz, K.; Wu, Yuliang; Ebrahim, R.; Sharma, A. (Spinger, 2022)
    This paper examines a new channel through which dividend policy can affect firm value. We find that firms that pay dividends exhibit lower systematic liquidity risk than those that do not. We also report a significant negative relationship between dividend payment and systematic liquidity risk. The liquidity improvement associated with dividend payments translates into an economically meaningful reduction in the cost of equity capital. Our results are robust to endogeneity concerns, to alternative measures of liquidity risk and dividend payouts, and to alternative model specifications. Further analysis suggests that the reduction in liquidity risk associated with dividend payouts is more pronounced for weakly governed firms and firms with opaque informational environment. Finally, we find that the recent financial crisis led to a greater increase in systematic liquidity risk for firms with no or low dividend payouts. Overall, our study implies that dividend policy can be used by corporate managers to shape liquidity risk and mitigate the adverse impact of economic downturns on the value of their firms.
  • Artificial intelligence and cloud-based collaborative platforms for managing disaster, extreme weather and emergency operations

    Gupta, S.; Modgil, S.; Kumar, A.; Sivarajah, Uthayasankar; Irani, Zahir (2022-12)
    Natural disasters are often unpredictable and therefore there is a need for quick and effective response to save lives and infrastructure. Hence, this study is aimed at achieving timely, anticipated and effective response throughout the cycle of a disaster, extreme weather and emergency operations management with the help of advanced technologies. This study proposes a novel, evidence-based framework (4-AIDE) that highlights the role of artificial intelligence (AI) and cloud-based collaborative platforms in disaster, extreme weather and emergency situations. A qualitative approach underpinned by organizational information processing theory (OIPT) is employed to design, develop and conduct semi-structured interviews with 33 respondents having experience in AI and cloud computing industries during emergency and extreme weather situations. For analysing the collected data, axial, open and selective coding is used that further develop themes, propositions and an evidence-based framework. The study findings indicate that AI and cloud-based collaborative platforms offer a structured and logical approach to enable two-way, algorithm-based communication to collect, analyse and design effective management strategies for disaster and extreme weather situations. Managers of public systems or businesses can collect and analyse data to predict possible outcomes and take necessary actions in an extreme weather situation. Communities and societies can be more resilient by transmitting and receiving data to AI and cloud-based collaborative platforms. These actions can also help policymakers identify critical pockets and guide administration for their necessary preparation for unexpected, extreme weather, and emergency events.
  • Impact of ethics training and audits on the relationship quality of business-to-business partners in sharing economy

    Bag, S.; Gupta, S.; Srivastava, G.; Sivarajah, Uthayasankar; Kumar, A. (2022-11)
    Sharing economy is flourishing and increasingly customers are shifting towards “using instead of owning” products and services. The objective of our research is to empirically prove that low organizational trust can trigger strict organizational practices such as ethics training and audits but excessive use of both of these practices can negatively impact the relationship quality in sharing economy. In doing so, it has detrimental effects on co-creation and co-innovation particularly when the goals are related to emotional cognitive, material support and relationship building. This study, therefore, targets to scrutinize the dark side of B2B sharing economy platforms using the ethical theory of organizing. The unique contribution of this study is first, showcasing the relationships between ethical climate, ethical practices and consequences. Second, it highlights that B2B alliances that perceive strictness in ethics audits have a low level of willingness to enhance relationship quality. However, the effect of strictness in ethics training does not lead to the development of a low level of willingness to enhance relationship quality. This is an interesting finding and generates a theoretical debate. The findings of the study will promote the development of an ethical model that addresses the negative aspects of the B2B sharing economy.
  • The Effects of Consumer Brand Authenticity, Brand Image, and Age on Brand Loyalty in Time-honored Restaurants: Findings from SEM and fsQCA

    Xu, J.; Prayag, G.; Song, Hanqun (Elsevier, 2022-10)
    This study addresses a lack of research on the effects of consumer brand authenticity, brand image, and age, on brand loyalty in time-honored restaurants. Time-honored restaurants are long-established and well-recognized traditional restaurants that offer local or national foods and culinary culture. Empirical data were collected from 437 respondents in Beijing, China. Structural equation modeling (SEM) was used to ascertain relationships between variables, and fuzzy-set qualitative comparative analysis (fsQCA) validated the SEM results. The three brand authenticity dimensions were found to have differing effects on brand image and loyalty. True-to-fact authenticity had a significant effect on true-to-self authenticity, while true-to-ideal authenticity had a significant effect on brand image. True-to-self authenticity affects brand loyalty directly and indirectly through brand image. Some of the relationships were also moderated by consumer age. The results uncover the complexity inherent to consumer brand authenticity evaluations. They have implications for time-honored restaurants’ marketing and brand positioning strategies.
  • The belt and road initiative (BRI): A mechanism to achieve the ninth sustainable development goal (SDG)

    Senadjki, A.; Awal, I.M.; Nee, A.Y.H.; Ogbeibu, Samuel (Elsevier - Sciencedirect.com, 2022-10-20)
    Congruent with economic stability and environmental sustainability, the ninth Sustainable Development Goal (SDG - Industry, Innovation and Infrastructure) plays a crucial role in undergirding the industrial revolution. Conversely, it is inevitably complex for underdeveloped and emerging economies to meet the ninth SDG's 2030 agenda due to a lack of sufficient financial resources and the slow adoption of technology. With China expanding its Belt and Road Initiatives (BRIs) globally, mainly few findings espouse the significant link between BRI and the ninth SDG, and its probable impact remains understudied. Hence, a considerable gap yet exists in contemporary understanding of the impact of BRI on sustainability. Therefore, we conducted an exploratory study on six different countries (Algeria, Ghana, Indonesia, Malaysia, Nigeria and Palestine) to investigate the role of the BRI in achieving the ninth SDG. Face-to-face interviews and focus group discussions were applied. This qualitative data collection technique involved 26 participants representing industry experts and academic researchers. All interviews were recorded, transcribed, translated and thematically analysed. The result showed a significant progressive impact of BRI on the ninth SDG, and that the development of sustainable infrastructure is a key antecedent of the BRI policy enforcement in the six countries explored. The result also showed positive and negative spillover effects of BRI projects in the six countries. Government and Policymakers should design and enforce pro-growth and sustainable strategies to facilitate continuous implementation of policies that would align the execution of the BRI projects to bolster achievement of the ninth SDG.
  • Organisational resilience to supply chain risks during the COVID-19 Pandemic

    Wulandhari, N.B.I.; Budwhar, P.; Nishikant, M.; Akbar, Saeed; Do, Q.; Milligan, G. (Wiley, 2022)
    This paper aims to establish a link between aggregate organizational resilience capabilities and managerial risk perception aspects during a major global crisis. We argue that a multi-theory perspective, dynamic capability at an organizational level and enactment theory at a managerial level allow us to better understand how the sensemaking process within managerial risk perception assists organizational resilience. We draw from in-depth interviews with 40 managers across the UK’s food industry, which has been able to display resilience during the pandemic. In sensing supply chain risks (SCRs), managers within both authority-based and consensus-based organizational structures utilize risk-capture heuristics and enact actions related to effective communications, albeit at different information costs. In seizing, we found that managers adhere to distinct heuristics that are idiosyncratic to their organizational structures. Through limited horizontal communication channels, authority-based structures adhere to rudimentary how-to heuristics, whereas consensus-based structures use obtainable how-to heuristics. We contribute to the organizational resilience and dynamic capabilities literature by identifying assessment as an additional step prior to transforming, which depicts a retention process to inform future judgements. Our study presents a novel framework of organizational resilience to SCRs during equivocal environments, by providing a nuanced understanding of the construction of dynamic capabilities through sensemaking.
  • Robotic employees vs. human employees: Customers’ perceived authenticity at casual dining restaurants

    Song, Hanqun; Wang, Y-C.; Yang, H.; Ma, E. (2022-09)
    Cost-saving and sanitation considerations and the challenge of labor shortages have catalyzed the application of service robots in restaurants. Although service robots can perform multiple roles and functions, more research attention is needed in hospitality contexts on how different combinations of using robots and humans at different product/service layers may influence customers’ experiences and behavioral intentions. Building on the literature of product level theory and authenticity, this study empirically investigated this issue with data collected from 364 customers in China. The results show that the use of robots in core and facilitating product levels is less effective in improving consumers’ perceived service and brand authenticity. Consumers’ perceived service authenticity positively influences their brand authenticity and repurchase intention. Consumers’ perceived brand authenticity only positively affects their repurchase intention. Both theoretical and managerial implications are discussed in this paper.
  • Why do small businesses have difficulty in accessing bank financing?

    Harrison, R.; Li, Y.; Vigne, S.A.; Wu, Yuliang (Elsevier, 2022-11)
    This study investigates bank financing to small and medium-size enterprises (SMEs) and evaluates whether the difficulties of SMEs in accessing bank financing during a period of financial crisis are due to a reduction in the supply of credit, or to a decrease in the demand for credit. The results show that the macroeconomic setting matters: demand effects are unlikely to drive the decline in the stock of bank loans, while the supply of credit causes SMEs difficulties in accessing bank credit. During a crisis period, in particular, an increase in the risk of lenders leads to the reduced supply of credit and credit rationing (i.e. the bank lending channel). In a post-crisis period, SMEs with increased risk and decreased profits have great difficulties in securing bank loans (i.e. the borrower balance sheet channel). Taken together, these results suggest that supply effects initially emerge through the bank-lending channel and then shift to the borrower balance sheet channel over a period of financial crisis.
  • Can star analysts make superior coverage decisions in poor information environment?

    Jin, H.; Mazouz, K.; Wu, Yuliang; Xu, B. (Elsiver, 2023-01)
    This study uses the quality of coverage decisions as a new metric to evaluate the performance of star and non-star analysts. We find that the coverage decisions of star analysts are better predictors of returns than those of non-star analysts. The return predictability of star analysts’ coverage decisions is stronger for informationally opaque stocks. We further exploit the staggered short selling deregulations, Google’s withdrawal, and the anti-corruption campaign as three quasi-natural experiments that create plausibly exogenous variations in the quality of information environment. These experiments show that the predictive power of star analysts’ coverage decisions strengthens (weakens) following a sharp deterioration (improvement) in firms’ information environment, consistent with the notion that star analysts possess superior ability to identify mispriced stocks. Overall, star analysts make better coverage decisions and play a superior role as information intermediaries, especially in poor information environment.
  • Service robots in long-term care: a consumer-centric view

    Kipnis, Eva; McLeay, F.; Grimes, A.; de Saille, S.; Potter, S. (2022)
    Service robots with advanced intelligence capabilities can potentially transform servicescapes. However, limited attention has been given to how consumers experiencing vulnerabilities, particularly those with disabilities, envisage the characteristics of robots’ prospective integration into emotionally intense servicescapes, such as long-term care (LTC). We take an interdisciplinary approach conducting three exploratory studies with consumers with disabilities involving Community Philosophy, LEGO® Serious Play®, and Design Thinking methods. Addressing a lack of consumer-centric research, we offer a three-fold contribution by 1) developing a conceptualization of consumer-conceived value of robots in LTC, which are envisaged as a supporting resource offering consumers opportunities to realize value; 2) empirically evidencing pathogenic vulnerabilities as a potential value-destruction factor to underscore the importance of integrating service robots research with a service inclusion paradigm; and 3) providing a theoretical extension and clarification of prior characterizations of robots’ empathetic and emotion-related AI capabilities. Consumers with disabilities conceive robots able to stimulate and regulate emotions by mimicking cognitive and behavioral empathy, but unable to express affective and moral empathy, which is central to care experience. While providing support for care practices, for the foreseeable future, service robots will not, in themselves, actualize the experience of “being cared for.”
  • Knowledge for a warmer world: A patent analysis of climate change adaptation technologies

    Hötte, K.; Jee, Su J. (2022-10)
    Technologies can help strengthen the resilience of our economy against existential climate-risks. We investigate climate change adaptation technologies (CCATs) in US patents to understand (1) historical patterns and possible drivers of innovation; (2) scientific and technological requirements to develop and use CCATs; and (3) CCATs’ potential technological synergies with mitigation. First, in contrast to mitigation, innovation in CCATs only slowly takes off, indicating a relatively low awareness of investors for solutions to cope with climate risks. We discuss how historical trends in environmental regulation, energy prices, and public support may have contributed to patenting in CCATs. Second, CCATs form two main clusters: science-intensive ones in agriculture, health, and monitoring technologies; and engineering-intensive ones in coastal, water, and infrastructure technologies. Analyses of technology-specific scientific and technological knowledge bases inform directions for how to facilitate advancement, transfer and use of CCATs. Lastly, CCATs show strong technological complementarities with mitigation as more than 25% of CCATs bear mitigation benefits. While not judging about the complementarity of mitigation and adaptation in general, our results suggest how policymakers can harness these technological synergies to achieve both goals simultaneously.
  • Adoption of artificial intelligence and cutting-edge technologies for production system sustainability: A moderator-mediation analysis

    Chatterjee, S.; Chaudhuri, R.; Kamble, S.; Gupta, S.; Sivarajah, Uthayasankar (2022-07)
    Cutting-edge technologies like big data analytics (BDA), artificial intelligence (AI), quantum computing, blockchain, and digital twins have a profound impact on the sustainability of the production system. In addition, it is argued that turbulence in technology could negatively impact the adoption of these technologies and adversely impact the sustainability of the production system of the firm. The present study has demonstrated that the role of technological turbulence as a moderator could impact the relationships between the sustainability the of production system with its predictors. The study further analyses the mediating role of operational sustainability which could impact the firm performance. A theoretical model has been developed that is underpinned by dynamic capability view (DCV) theory and firm absorptive capacity theory. This model was verified by PLS-SEM with 412 responses from various manufacturing firms in India. There exists a positive and significant influence of AI and other cutting-edge technologies for keeping the production system sustainable.
  • Blockchain technology for supply chains operating in emerging markets: an empirical examination of technology organization-environment (TOE) framework

    Chittipaka, V.; Kumar, S.; Sivarajah, Uthayasankar; Bowden, J.L.; Baral, M.M. (2022)
    Organizations adopt blockchain technologies to provide solutions that deliver transparency, traceability, trust, and security to their stakeholders. In a novel contribution to the literature, this study adopts the technology-organization-environment (TOE) framework to examine the technological, organizational, and environmental dimensions for adopting blockchain technology in supply chains. This represents a departure from prior studies which have adopted the technology acceptance model (TAM), technology readiness index (TRI), theory of planned behavior (TPB), united theory of acceptance and use of technology (UTAUT) models. Data was collected through a survey of 525 supply chain management professionals in India. The research model was tested using structural equation modeling. The results show that all the eleven TOE constructs, including relative advantage, trust, compatibility, security, firm’s IT resources, higher authority support, firm size, monetary resources, rivalry pressure, business partner pressure, and regulatory pressure, had a significant influence on the decision of blockchain technology adoption in Indian supply chains. The findings of this study reveal that the role of blockchain technology adoption in supply chains may significantly improve firm performance improving transparency, trust and security for stakeholders within the supply chain. Further, this research framework contributes to the theoretical advancement of the existing body of knowledge in blockchain technology adoption studies.
  • The role of collaboration in tackling food loss and waste: Salient stakeholder perspective

    Surucu-Balci, Ebru; Tuna, O. (2022-09)
    While studies indicate that collaboration between stakeholders plays a prominent role in reducing food loss and waste (FLW), they have not specified which stakeholder group's collaboration will be more effective in reducing FLW. To fill this gap in the literature, this paper aims to identify and classify fruit and vegetable supply chain (FVSC) stakeholders according to their salience level and offer mitigation strategies for different salient stakeholder groups to tackle FLW. The study was conducted in Turkish FVSC because fruit and vegetable loss accounted for 53% of the total food loss. A multi-method approach was utilised to achieve the aim. First, 26 semi-structured interviews were conducted with Turkish FVSC experts to determine FVSC stakeholders and FLW drivers. Second, to identify and classify salient stakeholders, stakeholder mapping was undertaken. Collaboration-related mitigation strategies are offered high salient stakeholders and other stakeholder groups to reduce the amount of fruit and vegetable loss and waste. According to content analysis results, 25 supply chain actors are identified as stakeholders, and 15 are classified as salient stakeholders who can be more effective in tackling FLW. In addition, based on the results, 26 FLW drivers are identified according to different supply chain stages. Collaboration-based mitigation strategies were developed to diminish the impact of FLW causes at different stages. This study is one of the early attempts to classify food supply chain stakeholders according to saliency level. This study offers collaboration-related mitigation strategies to eliminate FLW drivers that cause loss and waste between specific stages of the FVSC.
  • Food security across the enterprise: a puzzle, problem or mess for a circular economy?

    Irani, Zahir; Sharif, Amir M. (2018)
    Purpose – The purpose of this paper is to explore the use, applicability and relevance of strategic planning as a process and tool when applied to exploring food security challenges, in the context of existing research on food security and food waste in the food supply chain. The issues associated with robust and resilient food supply chains within a circular economy are increasingly being seen as supportive of creating enhanced levels of food security but the authors argue that this is only sustainable when strategically planned as part of a cross-enterprise, information-rich and complex supply chain. The relevance of the Political, Economic, Social, Technological, Legal and Environmental (PESTLE) strategic planning tool is explored to establish whether it can play a role tacking the complexity of food insecurity (i.e. a lack of food security). Design/methodology/approach – This is a viewpoint piece therefore as a result, thought, normative literature and supposition are used as a means to ground and orientate the views of the authors. Findings – The authors identify and conclude that strategic planning tools like PESTLE across enterprises may not be relevant in supporting the reduction of food insecurity. This conclusion is predicated on the heightened level of complexity surrounding the pursuit of food security and the simplistic categorisation of PESTLE factors in a linear fashion that underpin this tool. Rather, the authors’ call for the use of strategic planning tools that are able to capture a large number of inter-related factors holistically. Practical implications – This insight to the inter-related factors that contribute to food insecurity will allow policy developers, decision makers and others to develop their understanding of how strategic planning can support increased levels of food security within a circular economy and across cross-enterprises. Originality/value – The authors contribute to the literature through a new insight of how normative strategic planning tools need to evolve in a complex, inter-connected world of international business and geo-politics. In doing so, it is expected that this research will motivate others to develop their line of enquiry around uncovering and exploring those inter-relationships connecting PESTLE factors.
  • Team-Based Learning Approach for the Delivery of Over-the-counter Module in the Faculty of Pharmacy in Jordan

    Basheer, H.A.; Isreb, Mohammad; Batarseh, Y.S.; Tweddell, Simon (2022-05)
    Team-based learning is an active learning strategy that focuses on student’s engagement, development of critical thinking, and transferable skills needed in the workplace. While many pharmacy faculties around the world have applied team-based learning into their curriculums, the implementation of team-based learning into the Middle East is still in the experimental phase and poses its own challenges. This reflective statement elaborates on our experience and feedback of implementing team-based learning for the first time at the pharmacy faculty of Zarqa University in Jordan through the delivery of over-the-counter module.
  • Building restaurant customers’ technology readiness through robot-assisted experiences at multiple product levels

    Ma, E.; Yang, H.; Wang, Y-C.; Song, Hanqun (2022)
    The growing popularity of robot-related research contexts in hospitality and tourism calls for in-depth analysis of how different product/service designs strategies integrating robots may influence customers’ experiences. Employing a scenario-based 2×2×2 experimental research design, this study assesses service robots applied at three different product/service levels (i.e., core, facilitating, and augmented). From surveying 378 customers of mid-priced casual restaurants and 312 tourists of a mid-priced theme park restaurant, findings of the study suggest that using robots at all three product/service levels lead to a more positive educational experience but not entertainment experience. The study further extends the literature by positioning dining at a robotic restaurant as an important occasion to showcase the latest technologies to customers. By providing memorable entertainment and educational experiences, customers’ technology readiness could be enhanced, making them more willing to try new technologies. Such a focus brings in unique contributions both in literature and practice.

View more