Recent Submissions

  • 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.
  • Legislative budgetary power and fiscal discipline in the Euro Area

    Catania, M.; Litsios, I.; Baimbridge, Mark J. (2021)
    Purpose – The objective of this study is to understand the budgetary role of national legislatures in Euro Area (EA) countries and to analyse implications for fiscal discipline. Design/methodology/approach – Building on the budget institutions literature, a legislative budgetary power index for all the 19 EA countries is constructed using OECD and European Commission data as well as data generated from questionnaires to national authorities. A two-way fixed effects panel data model is then used to assess the effect of legislative budgetary power on the budget balance in the EA during 2006-15. Findings - Overall, in the EA, formal legislative powers vis-à-vis the national budgetary process are weak but there is more legislative involvement in SGP procedures and legislative budgetary organisational capacity is generally quite good. In contrast to the traditional view in the budget institutions literature, our empirical findings show that strong legislative budgetary power does not necessarily result in larger budget deficits. Research limitations/implications – Data on legislative budgeting was available from different sources and timeseries data was very limited. Practical implications – There is scope to improve democratic legitimacy of the national budgetary process in the EA, without necessarily jeopardising fiscal discipline. Originality/value – The constructed legislative budgetary power index covers all the 19 EA countries and has a broad scope covering various novel institutional characteristics. The empirical analysis contributes to the scarce literature on the impact of legislative budgeting on fiscal discipline.
  • The nature of the self, self‑regulation and moral action: implications from the Confucian relational self and Buddhist non‑self

    Chu, Irene; Vu, M.C. (Springer, 2021-05)
    The concept of the self and its relation to moral action is complex and subject to varying interpretations, not only between different academic disciplines but also across time and space. This paper presents empirical evidence from a cross-cultural study on the Buddhist and Confucian notions of self in SMEs in Vietnam and Taiwan. The study employs Hwang’s Mandala Model of the Self, and its extension into Shiah’s non-self-model, to interpret how these two Eastern philosophical representations of the self, the Confucian relational self and Buddhist non-self, can lead to moral action. By demonstrating the strengths of the model, emphasizing how social and cultural influences constrain the individual self and promote the social person leading to moral action, the paper extends understanding of the self with empirical evidence of the mechanisms involved in organizational contexts
  • Modelling corporate bank accounts

    Fry, John; Griguta, V.; Gerber, L.; Slater-Petty, H.; Crockett, K. (2021)
    We discuss the modelling of corporate bank accounts using a proprietary dataset. We thus offer a principled treatment of a genuine industrial problem. The corporate bank accounts in our study constitute spare, irregularly-spaced time series that may take both positive and negative values. We thus builds on previous models where the underlying is real-valued. We describe an intra-monthly effect identified by practitioners whereby account uncertainty is typically lowest at the beginning and end of each month and highest in the middle. However, our theory also allows for the opposite effect to occur. In-sample applications demonstrate the statistical significance of the hypothesised monthly effect. Out-of-sample forecasting applications offer a 9% improvement compared to a standard SARIMA approach.
  • The role of peer effects in corporate employee welfare policies

    Rind, A.A.; Akbar, Saeed; Boubaker, S.; Lajili-Jarjir, S.; Mollah, S. (Wiley, 2021)
    This paper investigates the role of peer effects in the employee welfare policies of organizations. Using US panel data for a sample of 11,451 firm-year observations from 1996 to 2017, we find that firms’ employee welfare decisions are driven by their peers and show that peer firms play a significant role in defining corporate employee welfare policies. Our findings are robust to various sensitivity checks, including alternative definitions of employee welfare, alternative peer proxies, and several identification strategies. Our additional analysis shows that herding behavior is prevalent in followers, who mimic leaders' behavior, but we do not find any such relationship for industry leaders. Further, we show the evidence suggesting that mimetic and normative isomorphic pressures are driving the peer effects. Finally, we document the economic consequence of peer mimicking in employee welfare policies. Our findings on firms’ peer effects and herding behavior have policy implications.
  • Social media analytics for end-users’ expectation management in information systems development projects

    Banerjee, S.; Singh, J.P.; Dwivedi, Y.K.; Rana, Nripendra P. (2021)
    This exploratory research aims to investigate social media users’ expectations of information systems (IS) products that are conceived but not yet launched. It specifically analyses social media data from Twitter about forthcoming smartphones and smartwatches from Apple and Samsung, two firms known for their innovative gadgets. Tweets related to the following four forthcoming IS products were retrieved from 1st January 2020 to 30th September 2020: (1) Apple iPhone 12 (6,125 tweets), (2) Apple Watch 6 (553 tweets), (3) Samsung Galaxy Z Flip 2 (923 tweets), and (4) Samsung Galaxy Watch Active 3 (207 tweets). These 7,808 tweets were analysed using a combination of the Natural Language Processing Toolkit (NLTK) and sentiment analysis (SentiWordNet). The online community was quite vocal about topics such as design, camera and hardware specifications. For all the forthcoming gadgets, the proportion of positive tweets exceeded that of negative tweets. The most prevalent sentiment expressed in Apple-related tweets was neutral but in Samsung-related tweets was positive. Additionally, it was found that the proportion of tweets echoing negative sentiment was lower for Apple compared with Samsung. This paper is the earliest empirical work to examine the degree to which social media chatter can be used by project managers for IS development projects, specifically for the purpose of end-users’ expectation management.
  • The optimal configuration of IT-enabled dynamic capabilities in a firm’s capabilities portfolio: A strategic alignment perspective

    Majhi, S.G.; Anand, A.; Mukherjee, A.; Rana, Nripendra P. (2021-05)
    Although IT-enabled dynamic capabilities (ITDCs) add value to firms operating in turbulent and rapidly changing environments, firms face several challenges in developing, deploying, and maintaining the right portfolio of ITDCs. Since ITDCs are not uniformly advantageous, firms need to make strategic decisions in order to accomplish the complex task of achieving optimal ITDC configurations. This conceptual paper draws on the strategic alignment perspective to identify the optimal configuration of ITDCs for a firm based on its business strategy orientation indicated by the Miles and Snow typology. This paper first explicates the theoretically ideal configurations of ITDCs based on the competitive strategy patterns associated with each Miles and Snow archetype and then develops a model for measuring the strategic fit of ITDCs. This paper contributes to the literatures on ITDCs and strategic alignment by identifying optimal ITDC configurations and by conceptualizing the strategic fit of ITDCs respectively.

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