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  • Blockchain adoption in the maritime supply chain: Examining barriers and salient stakeholders in containerized international trade

    Balci, G.; Surucu-Balci, Ebru (2021-12)
    This study aimed to investigate the relationships between blockchain adoption barriers and identified the salient stakeholders for blockchain adoption in containerized international trade. The interpretative structural modelling and Cross-Impact Matrix Multiplication Applied to Classification analyses indicated that the most impactful among the eight barriers are lack of support from influential stakeholders, lack of understanding regarding blockchain, and lack of government regulations. The stakeholder mapping analysis demonstrated that the high salient stakeholders among 11 legitimate stakeholders are container lines, ports, beneficial cargo owners, freight forwarders/third party logistics, and customs authorities. The study is original and contributes to theory and practice as it uncovers both impactful barriers and critical stakeholders by adopting a stakeholder theory perspective and offers significant implications to practice, policy, and theory by combining these two analyses.
  • Why do firm fundamentals predict returns? Evidence from short selling activity

    Mazouz, K.; Wu, Yuliang (Elsvier, 2022-01)
    This study uses short selling activity to test whether the relation between fundamentals and future returns is due to rational pricing or mispricing. We find that short sellers target firms with fundamental performance below market expectations. We also show that short selling activity reduces the return predictability of fundamentals by speeding up the price adjustments to negative fundamental signals. To further investigate whether the returns earned by short sellers reflect rational risk premia or mispricing, we exploit a natural experiment, namely Regulation of SHO, which creates exogenous shocks to short selling by temporarily relaxing short-sale constraints. Evidence from the experiment confirms that the superior returns to short sellers result from exploiting overpricing. Overall, our study suggests that the return predictability of fundamentals reflects mispricing rather than rational risk premia.
  • Sustainability and the Circular Economy

    Clift, R.; Martin, G.; Mair, Simon (Elsevier, 2022)
    Sustainability is a triad including techno-economic efficiency, compatibility with the “Planetary Boundaries”, and equity - enabling a decent quality of life for all. Circular Economy models often focus only on closing material flows in order to increase economic activity or market share. This overlooks the equity dimension. Here we focus on the Performance Economy, which extends the Circular Economy in ways that can enhance equity. The Performance Economy model concentrates on making best use of stocks in the economy, including labour which is a renewable resource. Extending product life through re-use, remanufacturing and reprocessing and shifting from non-renewable inputs (including energy) to renewable inputs (including labour) can improve resource efficiency and increase the supply of rewarding employment. The Performance Economy requires changes in business practices more than technological innovation, including a different view of the functions of value chains, and can be promoted by different approaches to taxation.
  • Investigating logistics-related food loss drivers: A study on fresh fruit and vegetable supply chain

    Surucu-Balci, Ebru; Tuna, O. (2021-10)
    Food loss is one of the significant threats to sustainable development. Although various studies investigating food loss drivers disclosed that logistics is a significant reason for food loss, logistics-related food loss drivers have not been thoroughly studied. Thus, this paper aims to identify, classify and rank the logistics-related food loss drivers, having more influence on the amount of food loss in the fruit and vegetable supply chain, with the help of a mixed-method approach. First, a literature review was conducted to identify potential logistics-related food loss drivers. A total of 49 articles were analyzed. Second, 21 semi-structured interviews were conducted with industry experts to finalize the drivers. Third, the analytical hierarchy process was employed to rank the drivers having more influence on the amount of food loss. Five main drivers and nineteen sub-drivers were identified at the end of the literature review and interview process. Categorization of main drivers is based on the logistics activities. According to results, warehousing-related drivers and transportation-related drivers are the two most influential drivers on the amount of food loss, while lack of coordination and improper packaging material are the two most influential sub-drivers. Following the ranking of drivers and sub-drivers, mitigation strategies to diminish food loss are also discussed. The findings of this study are intended to guide fruit and vegetable supply chain actors in tackling food loss.
  • Et-moone and marketing relationship governance: The effect of digital transformation and ICT during the COVID-19 pandemic

    Alalwan, A.A.; Baabdullah, A.M.; Dwivedi, Y.K.; Rana, Nripendra P.; Lal, Banita; Raman, R. (Elsevier, 2021-10)
    This study aims to examine the drivers and impact of et-moone on relational governance within B2B relationships in the Arab Asian region. Building on commitment and trust theory, this study proposes how et-moone could be driven by IT-enabled interactions during the COVID-19 pandemic. Data were collected using an online questionnaire survey from the food, pharmaceutical, detergent and sterilizer industries in Jordan and Saudi Arabia. A two-stage structural equation modelling approach was used to test the model. The results largely support the significant impact of et-moone predictors. A strong and significant relationship was also found between et-moone and relational governance. This study expands the theoretical horizon of et-moone by considering a new driver (i.e., IT-enabled interactions) and its consequences in terms of relational governance. The outcomes of the current study also make contributions for both practitioners and researchers who are interested in socio-cultural values (i.e., et-Moone) in Arabic countries. An in-depth discussion on the above is presented in the subsections on theoretical and practical implications.
  • The effect of export market-oriented culture on export performance: Evidence from a Sub-Saharan African economy

    Olabode, Oluwaseun E.; Adeola, O.; Assadinia, S. (2018-07)
    Purpose: The purpose of this paper is to examine how export learning capability and export environmental turbulence serve as mechanisms and boundary conditions to link export market-oriented culture to export performance. Design/methodology/approach: A quantitative approach was undertaken to analyse longitudinal data of 249 small- and medium-sized exporting firms in Nigeria, a Sub-Saharan African economy. Findings: Four major findings emerged from the study. First, export market-oriented culture positively influences export performance. Second, possessing an export market-oriented culture results in the development of high export learning capabilities. Third, export learning capability mediates the relationship between export market-oriented culture and export performance. Fourth, increases in export environment turbulence weaken the positive effect of export learning capability on export performance. Research limitations/implications: This study does not investigate moderating effects which might affect the relationship between export market-oriented culture and export learning capability as this was beyond the scope of this study. Originality/value: This study looks at developing economy environment as a unique context to examine the direct, mediating, and moderating effects of export market-oriented culture on export performance.
  • Big data analytics capability and market performance: The roles of disruptive business models and competitive intensity

    Olabode, Oluwaseun E.; Boso, N.; Hultman, M.; Leonidou, C.N. (2021)
    Research shows that big data analytics capability (BDAC) is a major determinant of firm performance. However, scant research has theoretically articulated and empirically tested the mechanisms and conditions under which BDAC influences performance. This study advances existing knowledge on the BDAC–performance relationship by drawing on the knowledge-based view and contingency theory to argue that how and when BDAC influences market performance is dependent on the intervening role of disruptive business models and the contingency role of competitive intensity. We empirically test this argument on primary data from 360 firms in the United Kingdom. The results show that disruptive business models partially mediate the positive effect of BDAC on market performance, and this indirect positive effect is strengthened when competitive intensity increases. These findings provide new perspectives on the business model processes and competitive conditions under which firms maximize marketplace value from investments in BDACs.
  • The mean–variance relation: A 24-hour story

    Wang, Wenzhao (2021-11)
    This paper investigates the mean-variance relation during different time periods within trading days. We reveal that there is a positive mean-variance relation when the stock market is closed (i.e., overnight), but the positive relation is distorted when the market is open (i.e., intraday). The evidence offers a new explanation for the weak risk-return tradeoff in stock markets.
  • Institutional Investor Sentiment and the Mean-Variance Relationship: Global Evidence

    Wang, Wenzhao; Duxbury, D. (2021-11)
    Although a cornerstone of traditional finance theory, empirical evidence in support of a positive mean-variance relation is far from conclusive, with the behavior of retail investors commonly thought to be one of the root causes of departures from this expected relationship. The behavior of institutional investors, conventionally thought to be sophisticated and rational, has recently come under closer scrutiny, including in relation to investor sentiment. Drawing together these two strands of literature, this paper examines the impact of institutional investor sentiment on the mean-variance relation in six regions, including Asia (excl. Japan), Eastern Europe, Eurozone, Japan, Latin America, and the US, and across thirtyeight markets. Empirical evidence supports the differential impact of institutional investor sentiment on the mean-variance relation (i.e., positive or negative), both across regions and across markets. In particular, for markets with cultural proneness to overreaction and a low level of market integrity institutional investor sentiment tends to distort the risk-return tradeoff.
  • Ethical Framework for Artificial Intelligence and Digital Technologies

    Ashok, M.; Madan, R.; Joha, A.; Sivarajah, Uthayasankar (2022-02)
    The use of Artificial Intelligence (AI) in Digital technologies (DT) is proliferating a profound socio-technical transformation. Governments and AI scholarship have endorsed key AI principles but lack direction at the implementation level. Through a systematic literature review of 59 papers, this paper contributes to the critical debate on the ethical use of AI in DTs beyond high-level AI principles. To our knowledge, this is the first paper that identifies 14 digital ethics implications for the use of AI in seven DT archetypes using a novel ontological framework (physical, cognitive, information, and governance). The paper presents key findings of the review and a conceptual model with twelve propositions highlighting the impact of digital ethics implications on societal impact, as moderated by DT archetypes and mediated by organisational impact. The implications of intelligibility, accountability, fairness, and autonomy (under the cognitive domain), and privacy (under the information domain) are the most widely discussed in our sample. Furthermore, ethical implications related to the governance domain are shown to be generally applicable for most DT archetypes. Implications under the physical domain are less prominent when it comes to AI diffusion with one exception (safety). The key findings and resulting conceptual model have academic and professional implications.
  • A meta-analytic structural equation model for understanding social commerce adoption

    Dwivedi, Y.K.; Ismagilova, Elvira; Sarker, P.; Jeyaraj, A.; Jadil, Y.; Hughes, L. (2021)
    Social commerce (s-commerce) has gained prominence with advances in social media and social networking technologies over the last decade. Prior research has employed diverse theoretical perspectives to understand and explain consumer behavior within s-commerce but has also produced inconsistent results. This study integrates different theoretical perspectives including trust, social support, and social presence. The research portrays an integrated research model involving factors that impact behavioral intention and use behavior of s-commerce consumers whilst synthesizing prior empirical findings. A meta-analytic structural equation modeling (MASEM) method was used to synthesize 189 findings reported in 68 s-commerce studies and to analyze the structural model. Our findings show that trust and informational support have positive effects on behavioral intention while trust and emotional support have positive effects on use behavior. Furthermore, our findings highlight that behavioral intention influences use behavior and mediates the effect of trust and informational support on use behavior. The implications for research and practice are discussed in detail.
  • Artificial Intelligence-based Public Healthcare Systems: G2G Knowledge-based Exchange to Enhance the Decision-making Process

    Nasseef, O.A.; Baabdullah, A.M.; Alalwan, A.A.; Lal, Banita; Dwivedi, Y.K. (2021)
    With the rapid evolution of data over the last few years, many new technologies have arisen with artificial intelligent (AI) technologies at the top. Artificial intelligence (AI), with its infinite power, holds the potential to transform patient healthcare. Given the gaps revealed by the 2020 COVID-19 pandemic in healthcare systems, this research investigates the effects of using an artificial intelligence-driven public healthcare framework to enhance the decision-making process using an extended model of Shaft and Vessey (2006) cognitive fit model in healthcare organizations in Saudi Arabia. The model was validated based on empirical data collected using an online questionnaire distributed to healthcare organizations in Saudi Arabia. The main sample participants were healthcare CEOs, senior managers/managers, doctors, nurses, and other relevant healthcare practitioners under the MoH involved in the decision-making process relating to COVID-19. The measurement model was validated using SEM analyses. Empirical results largely supported the conceptual model proposed as all research hypotheses are significantly approved. This study makes several theoretical contributions. For example, it expands the theoretical horizon of Shaft and Vessey's (2006) CFT by considering new mechanisms, such as the inclusion of G2G Knowledge-based Exchange in addition to the moderation effect of Experience-based decision-making (EDBM) for enhancing the decision-making process related to the COVID-19 pandemic. More discussion regarding research limitations and future research directions are provided as well at the end of this study.
  • Working from Home During Covid-19: Doing and Managing Technology-enabled Social Interaction With Colleagues at a Distance

    Lal, Banita; Dwivedi, Y.K.; Haag, M. (2021)
    With the overnight growth in Working from Home (WFH) owing to the pandemic, organisations and their employees have had to adapt work-related processes and practices quickly with a huge reliance upon technology. Everyday activities such as social interactions with colleagues must therefore be reconsidered. Existing literature emphasises that social interactions, typically conducted in the traditional workplace, are a fundamental feature of social life and shape employees' experience of work. This experience is completely removed for many employees due to the pandemic and, presently, there is a lack of knowledge on how individuals maintain social interactions with colleagues via technology when working from home. Given that a lack of social interaction can lead to social isolation and other negative repercussions, this study aims to contribute to the existing body of literature on remote working by highlighting employees' experiences and practices around social interaction with colleagues. This study takes an interpretivist and qualitative approach utilising the diary-keeping technique to collect data from twenty-nine individuals who had started to work from home on a full-time basis as a result of the pandemic. The study explores how participants conduct social interactions using different technology platforms and how such interactions are embedded in their working lives. The findings highlight the difficulty in maintaining social interactions via technology such as the absence of cues and emotional intelligence, as well as highlighting numerous other factors such as job uncertainty, increased workloads and heavy usage of technology that affect their work lives. The study also highlights that despite the negative experiences relating to working from home, some participants are apprehensive about returning to work in the traditional office place where social interactions may actually be perceived as a distraction. The main contribution of our study is to highlight that a variety of perceptions and feelings of how work has changed via an increased use of digital media while working from home exists and that organisations need to be aware of these differences so that they can be managed in a contextualised manner, thus increasing both the efficiency and effectiveness of working from home.
  • Managing performance expectations in association football

    Fry, John; Serbera, J-P.; Wilson, R.J. (2021-10)
    Motivated by excessive managerial pressure and sackings, together with associated questions over the inefficient use of scarce resources, we explore realistic performance expectations in association football. Our aim is to improve management quality by accounting for information asymmetry. Results highlight uncertainty caused both by football’s low-scoring nature and the intensity of the competition. At a deeper level we show that fans and journalists are prone to under-estimate uncertainties associated with individual matches. Further, we quantify reasonable expectations in the face of unevenly distributed resources. In line with the statactivist approach we call for more rounded assessments to be made once the underlying uncertainties are adequately accounted for. Managing fan expectations is probably impossible though the potential for constructive dialogue remains.
  • Investor Sentiment and Stock Returns: Global Evidence

    Wang, Wenzhao; Su, C.; Duxberry, D. (2021-09)
    We assess the impact of investor sentiment on future stock returns in 50 global stock markets. Using the consumer confidence index (CCI) as the sentiment proxy, we document a negative relationship between investor sentiment and future stock returns at the global level. While the separation between developed and emerging markets does not disrupt the negative pattern, investor sentiment has a more instant impact in emerging markets, but a more enduring impact in developed markets. Individual stock markets reveal heterogeneity in the sentiment-return relationship. This heterogeneity can be explained by cross-market differences in culture and institutions, along with intelligence and education, to varying degrees influenced by the extent of individual investor market participation.
  • Sustainable Food Supply Chains: Overcoming the Challenges with Digital Technologies

    Mahroof, Kamran; Omar, Amizan; Kucukaltan, B. (Emerald Publishing, 2021)
    The purpose of this paper is to offer a consolidative approach in exploring the potential contribution of digital technologies in sustainable supply chain management (SSCM) for the sustainable performance of food supply chain business, through the circular economy concepts. As a single case study, this qualitative, interpretivist research was based on one of the largest food producers in the United Kingdom. The research utilises semi-structured interviews and applies thematic analysis to offer rich insights into SSCM challenges and their relationship with the business performance, through ten in-depth interviews. Findings derived from thematic analysis of the interview transcripts suggest four main critical success factors underpinning SSCM practices and businesses performance – i.e. business continuity, waste reduction, performance measurement approach, and organisational learning, which could use the help of digital technologies to improve. This led to seven propositions to be addressed in the future research. This research offers real, practical insights into SSCM challenges, within the context of food supply chain and explores the potential of digital technologies in overcoming them. Accordingly, the primary contribution of this work is grounded in the identification of critical success factors in SSCM for Food Supply Chains (FSC). Hence, this work contributes further to the literature on SSCM, as well as circular economy, by providing a study of a business in the context of the highly pertinent and valuable food industry.
  • Does capital market drive corporate investment efficiency? Evidence from equity lending supply

    Tsai, H.-J.; Wu, Yuliang; Xu, B. (2021-08)
    The increased equity lending supply (ELS) in the equity loan market, available for short sellers to borrow, exposes a firm to greater short selling threats. Considering short sellers’ strong incentives to uncover firm-specific information and monitor managers, we hypothesize that short selling threats, proxied by ELS, enhance corporate investment efficiency. We find that ELS significantly reduces managerial tendencies to underinvest (overinvest) especially for firms prone to underinvest (overinvest). The effect of ELS on investment efficiency is stronger for firms with higher information asymmetry and weaker corporate governance, confirming short sellers’ role in mitigating information and agency costs. However, short selling risk weakens the effect of ELS. Our evidence is robust to endogeneity checks and suggests that corporate investment can be driven by a particular capital market condition: the amount of lendable shares in the equity loan market.
  • Influence of Consumer Cosmopolitanism on Purchase Intention of Foreign vs. Local Brands: A Developing Country Perspective

    Srivastava, A.; Gupta, N.; Rana, Nripendra P. (2021-06)
    Purpose: This study investigates the role of consumer cosmopolitanism on consumer attitudes and purchase intentions towards foreign and local brands. Design/Methodology/Approach: The responses were collected on a structured questionnaire through a consumer survey. The data was then analysed through PLS-SEM. Findings: The results depict the positive influence of consumer cosmopolitanism on consumer attitudes towards foreign brands, which positively influences purchase intentions towards foreign brands and negatively influences the purchase intentions of local brands. Further, the mediating role of perceived quality was observed in explaining the consumer preference towards foreign and domestic brands. Practical Implications: Finally, the study concludes by providing implications for marketing scholars and managers of global and local brands. Originality Value: The paper examines the underlying mechanisms related to consumer cosmopolitanism and its role in influencing the foreign and local brand purchase.
  • Imagining the impossible? Fears of deportation and the barriers in obtaining EU Settled Status in the UK

    Elfving, Sanna; Marcinkowska, Aleksandra (2021)
    In early 2021, over 5 million European Union (EU) citizens had applied for settled status to secure their right to continue to live, work and study in the United Kingdom (UK) after the country’s withdrawal from the EU (Brexit). In 2018, the Home Office launched a Statement of Intent to implement an application process for EU citizens through its EU Settlement Scheme. In the period leading to Brexit, the UK government assured EU migrants that their existing rights under EU law will remain essentially unchanged, and that applying for the settled status will be smooth, transparent and simple. However, the application process has resulted in some long-term residents failing to obtain settled status, despite providing the required information. Based on qualitative in-depth interviews with 20 EU migrants living in 2 major metropolitan areas in North East England, this article discusses the significant barriers which EU citizens face with the application process. This situation affects especially the most vulnerable EU migrants with limited English language skills and/or low literacy levels as well as those who are digitally excluded. This study contributes to the growing body of research on the consequences of Brexit to vulnerable EU migrants in the UK, focusing specifically on Central and Eastern European migrants.
  • Retail atmospherics effect on store performance and personalised shopper behaviour: A cognitive computing approach

    Behera, R.K.; Bala, P.K.; Tata, S.V.; Rana, Nripendra P. (2021-06)
    Abstract Purpose: The best possible way for brick-and-mortar retailers to maximise engagement with personalised shoppers is capitalising on intelligent insights. The retailer operates differently with diversified items and services, but influencing retail atmospheric on personalised shoppers, the perception remains the same across industries. Retail atmospherics stimuli such as design, smell and others create behavioural modifications. The purpose of this study is to explore the atmospheric effects on brick-and- mortar store performance and personalised shopper’s behaviour using cognitive computing based in-store analytics in the context of emerging market. Design/methodology/approach: The data are collected from 35 shoppers of a brick-and-mortar retailer through questionnaire survey and analysed using quantitative method. Findings: The result of the analysis reveals month-on-month growth in footfall count (46%), conversation rate (21%), units per transaction (27%), average order value (23%), dwell time (11%), purchase intention (29%), emotional experience (40%) and a month-on-month decline in remorse (20%). The retailers need to focus on three control gates of shopper behaviour: entry, browsing and exit. Attention should be paid to the cognitive computing solution to judge the influence of retail atmospherics on store performance and behaviour of personalised shoppers. Retail atmospherics create the right experience for individual shoppers and forceful use of it has an adverse impact. Originality/value: The paper focuses on strategic decisions of retailers, the tactical value of personalised shoppers and empirically identifies the retail atmospherics effect on brick-and-mortar store performance and personalised shopper behaviour.

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