Now showing items 21-40 of 1148

    • Propagation of online consumer-perceived negativity: Quantifying the effect of supply chain underperformance on passenger car sales

      Singh, A.; Jenamani, M.; Thakker, J.J.; Rana, Nripendra P. (2021-08)
      The paper presents a text analytics framework that analyses online reviews to explore how consumer-perceived negativity corresponding to the supply chain propagates over time and how it affects car sales. In particular, the framework integrates aspect-level sentiment analysis using SentiWordNet, time-series decomposition, and bias-corrected least square dummy variable (LSDVc) – a panel data estimator. The framework facilitates the business community by providing a list of consumers’ contemporary interests in the form of frequently discussed product attributes; quantifying consumer-perceived performance of supply chain (SC) partners and comparing the competitors; and a model assessing various firms’ sales performance. The proposed framework demonstrated to the automobile supply chain using a review dataset received from a renowned car-portal in India. Our findings suggest that consumer-voiced negativity is maximum for dealers and minimum for manufacturing and assembly related features. Firm age, GDP, and review volume significantly influence car sales whereas the sentiments corresponding to SC partners do not. The proposed research framework can help the manufacturers in inspecting their SC partners; realising consumer-cited critical car sales influencers; and accurately predicting the sales, which in turn can help them in better production planning, supply chain management, marketing, and consumer relationships.
    • Consumer reactions to nudity in print advertising: Comparing same-gender and opposite-gender effects

      Trivedi, Rohitkumar; Teichert, T. (2021-01)
      It is often assumed that exposure to nude stimuli in advertising influences consumer behavior positively. However, the empirical evidence concerning the effects of nudity on consumer reactions is inconclusive. The goal of this study is to disentangle the effects of opposite-gender and same-gender nudity on female and male consumers' reactions. This study, thereby, offers a framework for the appropriate choice of seminude or fully clothed human stimuli based on advertisers' objectives and consumer–model gender interactions. The empirical data were derived from a large-scale market research initiative from Germany with 61,399 consumer evaluations of 147 real ads from 16 product categories. Female consumers show positive same-gender results for both seminude and fully clothed female models, indicating strong homophily, but nonsignificant opposite-gender effects on information search, positive attitude change, integration of brand into consideration set, and purchase intentions. In contrast, male consumers demonstrate a significantly positive and equally strong influence of opposite-gender and same-gender seminude stimuli on all of the four variables.
    • Bilingual Cyber-aggression Detection on Social Media using LSTM Autoencoder

      Kumari, K.; Singh, J.P.; Dwivedi, Y.K.; Rana, Nripendra P. (2021-07)
      Cyber-aggression is an offensive behaviour attacking people based on race, ethnicity, religion, gender, sexual orientation, and other traits. It has become a major issue plaguing the online social media. In this research, we have developed a deep learning-based model to identify different levels of aggression (direct, indirect and no aggression) in a social media post in a bilingual scenario. The model is an autoencoder built using the LSTM network and trained with non-aggressive comments only. Any aggressive comment (direct or indirect) will be regarded as an anomaly to the system and will be marked as Overtly (direct) or Covertly (indirect) aggressive comment depending on the reconstruction loss by the autoencoder. The validation results on the dataset from two popular social media sites: Facebook and Twitter with bilingual (English and Hindi) data outperformed the current state-of-the-art models with improvements of more than 11% on the test sets of the English dataset and more than 6% on the test sets of the Hindi dataset.
    • Asset pricing in the Middle East’s equity markets

      Hearn, Bruce; Li, Jing; Mykhayliv, Dariya; Waqas, Muhammad (Elsevier, 2021-05)
      This paper undertakes a comparison between five multifactor variants of the capital asset pricing model. These include additional factors based on size, book to market value, momentum, liquidity and a new investor protection metric based on the product of institutional quality in a country and the proportion of free float shares, which captures the impact of controlling block holders. Using monthly returns of 909 blue chip firms from 18 Middle East & North African equity markets for 16 years, we show that a two factor CAPM augmented with a factor mimicking portfolio based on the investor protection metric yields the highest explanatory power. Analysis of Kalman filter time varying investor protection betas reveals investor protection premiums in Egypt, Iraq, Lebanon and Tunisia and corresponding discounts in Israel, Saudi Arabia, Kuwait, Oman, Dubai and Abu Dhabi.
    • Regional financial disparity in India: can it be measured?

      Arora, Rashmi; Anand, Prathivadi B. (2021)
      In this study we examine disparities in financial development at the regional level in India. The major research questions of the study are: How do we measure the level of financial development at the sub-national level? How unequal is financial development across the states? Does it vary by ownership of financial institutions? To explore these research questions, our study develops composite banking development index at the sub-national level for three different bank groups - public, private and foreign for 25 Indian states covering 1996 - 2015. Our findings suggest that despite reforms, banking development is significantly higher in the leading high income and more developed regions compared to lagging ones. Further, we find that all bank groups including public banks are concentrated more in the developed regions. Overall, over the years the position of top three and bottom three states in the aggregate banking index has remained unchanged reflecting lop-sidedness of regional development. We also note improvement in the ranking of some north-eastern states during the period 2009-15.
    • Impact assessment of social media usage in B2B marketing: A review of the literature and a way forward

      Tiwary, N.K.; Kumar, R.K.; Sarraf, S.; Kumar, P.; Rana, Nripendra P. (2021-07)
      Although various critical elements, such as media publicity, word of mouth, legislation, and environmental factors, are not under the control of a company, they play a significant role in influencing its brand image. Uncertainty over how different social networking sites can support brands is one of the crucial reasons for the delayed acceptance of social media (SM) in business-to-business (B2B) transactions. SM possesses immense potential in relation to gathering customer data and assisting B2B marketers. Therefore, this study reviewed SM usage in the B2B context, based on 294 selected articles. The methodology included bibliometric analysis to identify the impact of SM usage in the B2B domain and content analysis to perform a thematic assessment. Our analysis found that many B2B firms cannot leverage SM’s potential to its fullest compared to business-to-customer (B2C) firms. However, SM can help B2B marketers build their brand presence and trust globally, ultimately helping them find potential customers and build relationships with global supply chain providers.
    • Independent oversight of the auditing profession: A review of the literature

      Elshendidy, T.; Eldaly, Mohamed K.A.; Abdel-Kader, M. (2021-07)
      This paper reviews the literature on the independent oversight of auditing from 2003 to 2018 and provides several research opportunities for filling the identified gaps in that literature. Our review classifies the literature into three themes: (1) the development of independent audit oversight; (2) the effects of independent audit oversight; and (3) the interface between the independent audit oversight authorities and the global audit networks. The paper finds different effects of the independent audit oversight. Positively, it enhances the capital markets by adding more credibility to the published information. Auditors become more conservative about accepting or continuing to work with high-risk clients. At the same time, while audit fees have increased as a result of the additional requirements of independent audit regulation, non-audit fees from audit clients have decreased significantly. Negatively, independent oversight has increased audit concentration and resulted in insufficient choice of auditors in most audit markets.
    • Foreign interfirm networks and internationalization: Evidence from sub-Saharan Africa

      Liu, L.; Henley, J.; Mousavi, Mohammad M. (2021-03)
      This study investigates how buyer-supplier interfirm networks with foreign affiliates affect the internationalization of local firms in developing countries. In a study of 1601 sub-Saharan African manufacturing firms, we find that foreign supply linkages positively influence firm internationalization, but this does not relate to marketing linkages. We further examine the role of absorptive capacity and find that both potential and realized absorptive capacity has positive and independent effects on firm internationalization. However, potential absorptive capacity has no moderating effect and realized absorptive capacity negatively moderates the relationship between foreign supplying networks and internationalization. Finally, implications for public policy and managerial practice are discussed.
    • How does business analytics contribute to organisational performance and business value? A resource-based view

      Chatterjee, S.; Rana, Nripendra P.; Dwivedi, Y.K. (2021)
      Purpose – The purpose of this article is to identify how the organisations are able to improve their business value through acquisition of business analytics capabilities and by improving their performance. Design/Methodology/Approach – With the help of literature survey, along with standard resource-based view framework, a conceptual model has been developed. These have been statistically tested by collecting the data using the survey questionnaire from 306 selected respondents from various service sector and product based organisations in India. To analyse the data we have used partial least square based structural equation modelling. Findings – The study highlights that by the help of data acquisition and tool acquisition as two vital components, the acquisition of business analytics capabilities could improve the business value of the organisation by strengthening its organisational performance. The findings of this research also indicated that acquisition of business analytics capabilities has a significant influence on organisation’s business process performance and business decision, which in turn significantly influence organisational performance. And, organisational performance eventually positively influences its business value. The model was found to provide an explanative power of 71%. Research Implication – The proposed research model can provide effective recommendations to the management of the organisations to realise the importance of acquisition of effective business analytics capabilities to eventually improve the business value of the organisation. Originality/Value – No specific studies, as yet, have analysed the effects of acquisition of business analytics capabilities for improving organisational performance mediated through business process performance and business decision. Therefore, this research has explored the distinctive effort to empirically validate this understanding.
    • Assessing the suitability of sustainability frameworks for embedding sustainability in higher education curricula: pragmatism versus transformation

      Druckman, A.; Mair, Simon (2021)
      Purpose. This viewpoint paper addresses the use of sustainability frameworks in embedding education for sustainability into the curriculum of Higher Education Institutions (HEIs). We focus on the paradox that sustainability frameworks must facilitate transformation of existing structures whilst also being well-enough aligned with current conditions to be readily adopted by today’s HEIs. Design/methodology/approach. We propose a set of four criteria for assessing the suitability of sustainability frameworks for use across the curriculum: Relevance to Current Curricula; Language; Institutional Fit; and Concept of the Future. Using these criteria, we assess how various frameworks align with the current (unsustainable) state of affairs, and their transformative potential. The frameworks assessed are: the Sustainable Development Goals (SDGs); the Three Pillars Framework; and the Capitals Approach. Findings. We find that each of the frameworks has strengths and weaknesses: the SDGs and the Capitals Approach perform well on alignment, but less well on transformation. Conversely, the Three Pillars Framework perform well on transformation and less well on alignment. By applying the criteria set out in this paper, we hope those working to embed sustainability into the curricula of HEIs will be better equipped to navigate the tensions presented by sustainability transitions. Originality. Using a novel set of criteria for assessing sustainability frameworks, this paper provides guidance that was previously lacking to education for sustainability professionals who are attempting to embed sustainability into the curriculum at HEIs.
    • The determinants of bank branch location in India: An empirical investigation

      Zhang, Q.; Arora, Rashmi; Colombage, S. (2021-07-06)
      Bank branching plays a significant role in a wide range of economic activities. Existing studies on determinants of bank branching activities largely focus on developed countries, studies devoted to developing countries are scant. We present the first study that examines the determinants of bank branching activities in one of the largest developing country India. We employ a unique longitudinal data to study the determinants of bank branch location in India. This data is collected at the state level covering 25 Indian states for the period 2006 to 2017. We employ Poisson regression that are better suited for modelling counted dependent variable. First, region and bank specific factors such as size of population and bank deposits influence location of bank branches. Second, the relationship between these factors and branch locations is heterogeneous across different types of banks and across states with different business environments. First, from the view of banks, considering the factors of branch location are crucial in order to set out branching strategy. Irrespective of policy measures aimed at promoting financial inclusion in India, we show that banks consider economic activities in the region in locating their branches. Second, from the view of policy makers and regulators, such branching strategy could potentially contribute to financial exclusion. As a result, population in the less developed regions may be excluded from accessing financial services. Hence, policy makers and regulators should take into this account when formulating policies aimed at promoting financial inclusion. First, while existing studies largely focus on developed countries, studies devoted to developing countries are scant. To the best of our knowledge, we have not come across any study that investigates the determinants of bank branch location in India, so we reasonably believe that ours is a first-of-its-kind. Second, our study provides a new perspective concerning how regional and bank specific factors influence banks of different ownership in locating branches. Third, while traditional regression used to be a method of choice among early studies, we employ Poisson regression that are better suited for modelling counted dependent variable.
    • Compliance or non‐compliance during financial crisis: Does it matter?

      Ahmad, S.; Akbar, Saeed; Kodwani, D.; Halari, A.; Shah, Syed Z. (2021)
      This paper investigates whether shareholder value is affected by non-compliance with the prescriptions of a principle-based ‘comply or explain’ sys-tem of corporate governance in the context of the global financial crisis of2007–2009. Using System Generalized Method of Moments estimates to controlfor different types of endogeneity, the main findings of this paper suggest thatnon-compliance with the UK Corporate Governance Code adversely affectsshareholder value. Furthermore, ex-post estimates reveal that compliance withcertain corporate governance mechanisms is more beneficial than others. Withregard to this, compliance with provisions related to board independence ismore important than complying with performance-related pay requirements ofthe code. These findings have implications for policy makers and financialinstitutions regarding the usefulness of compliance with a prescribed code ofcorporate governance, specifically during periods of financial distress.
    • The effects of knowledge integration and contextual ambidexterity on innovation in entrepreneurial ventures

      Amankwah-Amoah, J.; Adomako, Samuel (Elsevier, 2021-04)
      This paper utilizes insights from the knowledge-based view and ambidexterity literature to examine the effects of knowledge integration (KI) on innovation via contextual ambidexterity (CA). The paper also investigates the potential moderating role of human resource (HR) slack on the relationship between KI and CA. Using survey data collected from 245 entrepreneurial firms operating in Ghana, the findings show that KI positively relates to CA, and this relationship is moderated by HR slack. In addition, we observed that CA mediates KI and innovation. The broader theoretical and practical implications of the study are outlined.
    • Corruption and SME growth: the roles of institutional networking and financial slack

      Adomako, Samuel; Ahsan, M.; Amankwah-Amoah, J.; Danso, A.; Kesse, K.; Frimpong, K. (Cambridge University Press, 2021-02)
      In this study, we investigate the mediating effect of institutional networking on the relationship between perceived corruption and the growth of small and medium-sized enterprises (SMEs). We also examine the moderating impact of financial slack on the relationship between perceived corruption and institutional networking. We test our moderated mediation model using data from 212 SMEs operating in Ghana. The findings from the study show that perceived corruption is positively related to institutional networking and this relationship is amplified when levels of financial slack are greater. The findings also show that institutional networking positively mediates the relationship between perceived corruption and SME growth. Theoretical and practical implications are discussed.
    • Gender Bias and Digital Financial Services in South Asia: Obstacles and Opportunities on the Road to Equal Access

      Rashmi, Arora (Emerald, 2020-03-13)
      Several studies have shown that financial inclusion impacts poverty and income inequality and higher levels of financial inclusion lead to lower poverty and income inequality and promotes inclusive economic growth. However, the gender gap in access and usage of financial services remains pervasive across all the countries in South Asia. Patriarchal societies, low involvement of women in decision making, low empowerment of women, no voice in the family matters are some of the factors influencing women’s financial access in the region. Although literature has developed on access to financial services in general, there is not much academic work available on access to digital financial services for women. Gender Bias and Digital Financial Services in South Asia: Obstacles and Opportunities on the Road to Equal Access examines access to financial services to women in general in South Asia and specifically their access to digital financial services.
    • Offering flexible working opportunities to people with mental disabilities: The missing link between sustainable development goals and financial implications

      Warmate, Zoe; Eldaly, Mohamed K.A.; Elamer, Ahmed A. (Willey, 2021-05)
      A global response to Covid‐19 pandemic has triggered issues related to stress and social restrictions; thus, mental health is seen as a particular area of concern for social well‐being for both policymakers and corporate regulators/companies. Given that mental health intersects with most, if not all, of the 17 sustainable development goals (SDGs), this research brought to light issues surrounding employment of people with mental disabilities (PWMDs) and the financial merits of employing them. An online survey was administered to PWMDs to elicit what possible flexible opportunities could enable them to gain or stay at work. Interviews were also conducted with human resource managers and financial managers. Our results show that there are currently no flexible working opportunities available for PWMDs, which could enable them work effectively to improve both self and general economic growth.
    • Worker wellbeing and productivity in advanced economies: Re-examining the link

      Isham, A.; Mair, Simon; Jackson, T. (2021-06)
      Labour productivity is a key concept for understanding the way modern economies use resources and features prominently in ecological economics. Ecological economists have questioned the desirability of labour productivity growth on both environmental and social grounds. In this paper we aim to contribute to ongoing debates by focusing on the link between labour productivity and worker wellbeing. First, we review the evidence for the happy-productive worker thesis, which suggests labour productivity could be improved by increasing worker wellbeing. Second, we review the evidence on ways that productivity growth may undermine worker wellbeing. We find there is experimental evidence demonstrating a causal effect of worker wellbeing on productivity, but that the relationship can also sometimes involve resource-intensive mediators. Taken together with the evidence of a negative impact on worker wellbeing from productivity growth, we conclude that a relentless pursuit of productivity growth is potentially counterproductive, not only in terms of worker wellbeing, but even in terms of long-term productivity.
    • Exploring the drivers of customers’ brand attitudes of online travel agency services: A text-mining based approach

      Ray, A.; Bala, P.K.; Rana, Nripendra P. (2021-05)
      This paper aims to explore the important qualitative aspects of online user-generated-content that reflects customers’ brand-attitudes. Additionally, the qualitative aspects can help service-providers understand customers’ brand-attitudes by focusing on the important aspects rather than reading the entire review, which will save both their time and effort. We have utilised a total of 10,000 reviews from TripAdvisor (an online-travel-agency provider). This study has analysed the data using statistical-technique (logistic regression), predictive-model (artificial-neural-networks) and structural-modelling technique to understand the most important aspects (i.e. sentiment, emotion or parts-of-speech) that can help to predict customers’ brand-attitudes. Results show that sentiment is the most important aspect in predicting brand-attitudes. While total sentiment content and content polarity have significant positive association, negative high-arousal emotions and low-arousal emotions have significant negative association with customers’ brand attitudes. However, parts-of-speech aspects have no significant impact on brand attitude. The paper concludes with implications, limitations and future research directions.
    • Analysis of Challenges for Blockchain Adoption within the Indian Public Sector: An Interpretive Structural Modelling Approach

      Rana, Nripendra P.; Dwivedi, Y.K.; Hughes, D.L. (2021)
      Purpose – Blockchain is one of the most significant emerging technologies that is set to transform many aspects of industry and society. However, it has several major technical, social, legal, environmental and ethical complexities that offer significant challenges for mainstream use within the public sector. The Covid-19 pandemic has compelled many public sector employees to work remotely, highlighting a number of challenges to blockchain adoption within the Indian context signifying the pertinence of this research topic in the post-pandemic era. This study offers insight to researchers and policymakers alike on how such challenges are interdependent within this important subject. Design/methodology/approach – We explored 16 unique sets of challenges selected from the literature and gathered data from nine experts from government settings, healthcare and education sectors and academia who have significant knowledge and experience of blockchain implementation and use in their respective organisations. The implementation of Interpretive Structural Modelling (ISM) and MICMAC provided a precise set of driving, linkage and dependent challenges that were used to formulate the framework. Findings – The developed ISM framework is split into six different levels. The results suggest that the bottom level consists of challenges such as ‘Lack of standards (C9)’ and ‘Lack of validation (C10)’ form the foundation of the hierarchical structure of blockchain adoption. However, the topmost level consists of a highly dependent challenge termed ‘adoption of blockchain in the public sector (C16)’. The research filters the selected set of five challenges to develop a parsimonious model and formulated six propositions to examine the impact of ‘lack of standard (C9)’, ‘lack of validation (C10)’ on ‘security issues (C3)’ and ‘privacy concerns (C2)’, which eventually determine individuals’ ‘reluctance to use blockchain technology (C12)’. Originality/Value – This research fills a key gap in exiting research by exploring the key challenges in blockchain adoption within the public sector by developing a valuable framework to model this important topic. To the best of our knowledge, this is the first paper to address these challenges and develop a parsimonious model for challenges of blockchain adoption in the public sector settings.
    • An exploration of the drivers of employee motivation to facilitate value co-creation

      Waseem, Donia; Biggemann, S.; Garry, T. (2021-07-20)
      Purpose This paper aims to explore the drivers of employee motivation to facilitate value co-creation. Specifically, it enhances the understanding of social and contextual elements that contribute towards the co-creation of value. Design/methodology/approach Embracing an interpretive paradigm, the study draws on 57 in-depth interviews together with participant observation field notes. The data were analysed using thematic analysis. Findings The findings identify six key drivers that motivate employees to facilitate value co-creation: rewards and recognition, opportunities for life-long learning, interpersonal engagement, role responsibility and accountability, organisational vision and social purpose. Research limitations/implications This study is undertaken within a traditional organisation setting. Other organisational contexts such as working from home should also be considered. Second, this study focused on the individual relational orientations of employees. Also, there is an opportunity to explore the collective orientation of employees. Originality/value Drawing on service-dominant logic (S-D logic) as a theoretical lens, this study adopts and adapts Lindenberg and Steg’s (2013) goal-framing theory to conceptualise six drivers of employee motivation to facilitate value co-creation within three-goal frames that leads to in-role and extra-role job performance.