bluuebunny/crossref_metadata_2025_split huggingface dataset:
Purchase intention through mobile applications: a customer experience lens
Authors: Hamouda Manel 
Published: April 2021

PurposeThe study aims to clarify customer experience as perceived through interactions between the consumer and the mobile application of a retailer. It proposes to model and empirically study the relationship between customer experience, utilitarian and hedonic benefits and purchase intention when interacting with mobile applications of fashion retailers.Design/methodology/approachThe study opted for a quantitative approach using a web-based questionnaire. The data collected from a final sample of 118 users of fashion retailers' mobile applications was analysed using partial least square structural equation modelling.FindingsThe results point to a positive and a direct impact of utilitarian factors on the two dimensions of customer experience. Moreover, hedonic benefits seem to generate a positive experience with a retailer's mobile application and are likely to generate favourable rational and emotional responses. In addition, the findings confirm that both dimensions of experience (affective and cognitive) affect purchase intention with a stronger effect for the cognitive dimension over the affective one.Practical implicationsThe study concludes with implications for retailers to improve customer experience when using their mobile applications. Retailers are encouraged to integrate functional and aesthetic attributes not only to provide a favourable customer experience through rational evaluations and positive emotions but also to gain a competitive advantage in an m-shopping retailing context.Originality/valueThis study identified a need to further explore customer experience in the context of mobile applications by considering the two dimensions of experience: the cognitive and the affective. Indeed, these two facets of customer experience are rarely studied simultaneously in the previous literature.
Read, write, develop: the socio-economic impact of literacy in South Africa
Authors: Khumalo Ziyanda , Alhassan Abdul Latif 
Published: April 2021

PurposeTaking motivation from South Africa's ranking of 50 out of 50 countries who participated in the Progress in International Reading Literacy Study of Grade four learners in 2016, this paper examines the social and economic outcomes of literacy in South Africa.Design/methodology/approachUsing unemployment, income and crime rates as proxies for social and economic outcomes, the effect of literacy is examined by employing the fixed- and random-effects techniques to estimate a panel data covering nine provinces in South Africa from 2008 to 2017.FindingsThe results show that literacy rate worsens unemployment but improves crime rate and income per capita across South African provinces.Practical implicationsPolicymakers need to consider an expanded view of literacy by extending investments to cover financial and technology literacy in addition to functional literacy to fully maximise the benefits of education.Originality/valueTo the authors’ best knowledge, this is the first empirical assessment of literacy outcomes in South Africa.
Shadow pricing utilitarian justice: some tentative estimates
Authors: Torre Andrew , Coulthard Darryl Whitford 
Published: April 2021

PurposeThe purpose of this paper is to recognise and provide an approach to estimate the value of an institution that produces a public good to the wealth of a nation. Specifically, the authors value utilitarian justice.Design/methodology/approachThe paper employs the classical economic theories of crime and shadow pricing to estimate the total economic value and shadow prices or social productivity of police and higher court deterrence. These measures are estimated using the definitions provided by Dasgupta and by re-engineering key deterrence elasticity estimates gleaned from Australian econometric studies.FindingsThe empirical findings suggest a relatively high social value for police and higher court deterrence. Notwithstanding, addressing socio-economic disadvantage is likely to prevent more subsequent offences than directing more resources to the operation of the criminal justice system.Research limitations/implicationsThe key limitations involve the sensitivity of the estimates to error. Further work is required on all the estimates in the model and in particular the social costs of the serious offences. The next step is to estimate the opportunity cost of supplying police and court deterrence. The cost estimate can then be combined with the estimates of social benefits to estimate a benefit-cost ratio. The model in broad terms demonstrates a way forward to estimating the economic value of and the social productivity of the criminal justice system. The provision of retributive justice is also ignored in this contribution. This requires a separate analysis.Social implicationsThe social implications are that there appears a way to both justify and evaluate the criminal justice system and this methodology may be applied to the operation of other public services.Originality/valueThe originality of this paper lies in suggesting a method to solve the valuation problem for the jointly produced public goods of the higher courts and police.
How to build employees' relationship capital through different enterprise social media platform use: the moderating role of innovation culture
Authors: Ma Liang , Zhang Xin , Wang Gaoshan , Zhang Ge 
Published: April 2021

PurposeThe purpose of the present study is to build a research model to study how the use of different enterprise social media platforms affects employees' relationship capital, and the moderating role of innovation culture is also examined.Design/methodology/approachStructural equation modeling was performed to test the research model and hypotheses. Surveys were conducted in an electronic commerce company in China that uses different social media platforms, generating 301 valid responses for analysis.FindingsFirst, private social media used for work-related purposes can contribute to employees' relationship capital, and public social media QQ used for work-related purposes can contribute to employees' communication quality. WeChat used for social-related purposes has a positive effect on employees' information exchange. Second, innovation culture acts as a positive moderator between work-related media use and employees' information exchange, while innovation culture acts as a negative moderator between social-related WeChat use and employees' information exchange. Third, innovation culture acts as a positive moderator between work-related QQ use and employees' trust, while innovation culture acts as a negative moderator between social-related QQ use and employees' trust.Originality/valueFirst, this paper contributes to the information system (IS) social media literature by studying the effect of the use of different enterprise social media platforms used for different purposes on employees' relationship capital. Second, the authors contribute to relationship capital theory by clarifying that use of public and private social media platforms for social- and work-related purposes is an important driver of the formation of employees' relational capital. Third, the present study also contributes to enterprise social media literature by confirming that innovation culture acts as a different moderator between use of different enterprise social media platforms and employees' relationship capital.
Services export diversification and services export revenue stability: does trade openness matter?
Authors: Gnangnon Sena Kimm 
Published: April 2021

PurposeThe international trade literature has established that export product diversification lowers export product revenue instability. The current analysis investigates whether this finding carries over services exports.Design/methodology/approachThe empirical analysis covers a sample of 152 countries over the period 1980–2014 and employs the two-step system generalized method of moments (GMM) approach.FindingsThe empirical findings indicate that services export diversification reduces services export revenue instability both over the full sample as well as over sub-samples of high-income countries (HICs), least developed countries (LDCs) as well as developing countries (i.e. non-HICs) that are not LDCs. HICs appear to experience a higher positive effect of services export diversification on services export revenue instability than in developing countries. The analysis also shows that countries that further open-up to international trade enjoy a greater reducing effect of services export diversification on the instability of services export revenue.Research limitations/implicationsThis analysis, therefore, adds to the existing studies on the relationship between export product diversification and the instability of revenue derived from goods exports by focusing on the services export side. An important message from the analysis is that countries that diversify their services export basket enjoy lower services export revenue instability when they further integrate into the world trade market.Practical implicationsThis study highlights the importance of services export diversification, including for stabilizing services export revenue to services traders. Diversifying services export items, including across traditional and modern services sectors involves the implementation of a wide range of policies and measures, of which the liberalization of the services sectors through reduction and eventually the elimination of services trade barriers; the improvement of the business environment and the development of domestic financial markets (see for example, Hoekman, 2017). It could be interesting that another study consider policies and measures that could promote services export diversification.Originality/valueTo the best of the authors’ knowledge, this is the first time this topic is being addressed, including empirically.
Macroeconomic evidence on the impact of mandatory IFRS adoption on FDI in the Gulf Cooperation Council (GCC) countries
Authors: Mameche Youcef , Masood Abdullah 
Published: April 2021

PurposeThe present paper seeks to investigate the impact of International Financial Reporting Standards (IFRS) adoption on the foreign direct investment (FDI) in the Gulf Cooperation Council (GCC) region for the period 1980–2017. This study relies on the information asymmetry theory, according to which IFRS adoption, as a positive signal for investors, should attract more FDI. This research is crucial and presents an interesting framework for providing a major motivation for empirical insights since the macroeconomic evidence on the impact of IFRS adoption on FDI is still unclear in the GCC region and no empirical evidence has been provided in the existing related literature.Design/methodology/approachThe analysis was conducted based on panel data from GCC countries over the period 1980–2017 and using the autoregressive distributed lag (ARDL) modeling approach and the pooled mean group (PMG) estimation method.FindingsThe findings indicate that the decision of adopting IFRS in GCC countries has a positive impact of 3% on FDI inflows in the short run. However, the adoption of IFRS in the region leads to a decrease of 10.4 % in FDI inflows in the long run.Practical implicationsThese findings should be of a major interest to regulators and policymakers in GCC countries, practitioners and academic researchers, international investors, managers and any other interested groups about the accounting environment in GCC countries and other developing countries having an interest in the economic consequences of IFRS adoption, as a driver of FDI, in developing countries.Originality/valueThis investigation provides original empirical evidence on the effect of IFRS adoption on FDI inflows within the context of the GCC area. In fact, the current international literature is lacking empirical evidence on the effect of IFRS adoption on FDI inflows for the GCC countries as a whole. Furthermore, this study offers an original methodological contribution to the macroeconomic impact of IFRS adoption literature by using the PMG estimator since there has been no research works to date that has used this method of estimation.
Regulatory changes and loan loss provisions management by Chinese banks
Authors: Chen Li , Emanuel David , Li Lina Z. , Yang Mu 
Published: April 2021

PurposeThe authors examine whether Chinese banks use loan loss provisions (LLPs) for capital management, income smoothing and signaling purposes, and assess the effect of the recent regulatory changes following the implementation of Chinese Basel III on such behavior.Design/methodology/approachThe authors use a unique set of hand-collected data on bank capital combined with financial data downloaded from the China Stock Market and Accounting Research (CSMAR) database. Multivariate regression models are used to test our hypotheses.FindingsThe authors find that while there is no evidence to suggest capital management practice before the Chinese Basel III, the implementation of the new regulations induced listed banks to manage tier-1 capital via LLPs. The authors also find strong support that Chinese banks engage in income smoothing via LLPs management, and there is no change in such tendency following the issuance of Chinese Basel III. Lastly, the authors do not find support for the signaling behavior by Chinese banks using LLPs.Practical implicationsThe authors’ evidence suggests that elevated tier-1 capital and provisioning requirements may induce capital management by banks, which indicates a potential unintended effect brought forth by the new Basel regulations.Originality/valueTo the best of authors’ knowledge, this study is the first to examine Chinese banks' behavior relating to LLPs in terms of capital management, income smoothing and signaling. In particular, the authors use a sample containing a large number of Chinese commercial banks – previously a major data issue in other studies.
Board characteristics, auditing characteristics and audit report lag in African Central Banks
Authors: Chalu Henry 
Published: April 2021

PurposeThe purpose of this paper is to examine the determinants of audit report lag in Sub-Saharan African Central Banks. In this case, the determinants were divided into two categories: independent variables and mediating variables. The independent variables, which were generated from board characteristics, included board size, board gender diversity, governor duality, audit committee size and audit committee meetings. The mediating variables were auditing characteristics and they comprised audit mandate, audit approach and audit quality.Design/methodology/approachThe study used data from 192 observations from African Central Banks' financial reports for the period 2000–2016. The data collected were analyzed using path analysis, whereby four regression models were run and tested simultaneously. From the analysis, the study determined total effects and then decomposed the total effects into direct and indirect effects.FindingsThe study results indicate that in the case of board characteristics, governor duality and audit committee size were found to have a positive influence on audit report lag. In the case of audit quality, only audit mandate was found to have a negative influence on audit quality in the Central Banks. However, the introduction of mediating variables increased the positive effect of governor duality and audit committee size, while also making board size and board gender diversity have a significant negative effect on audit report lag.Practical implicationsThe findings of this paper have implications for the practice and policy of the auditing and governance of Central Banks, which includes designing appropriate governance structures as well as proper auditing strategies.Originality/valueThis is the first study which has examined factors influencing audit report lag in Central Banks. Previous studies on Central Banks' governance have examined the independence and autonomy of the Central Banks, as well as their accounting. This paper extends prior studies by examining the effects of those factors. Another contribution is the study's application of auditing characteristics as mediating variables.
Quantifying reputation risk using a fuzzy cognitive map: a case of a pharmaceutical supply chain
Authors: Rajagopal Varthini , Shanmugam Prasanna Venkatesan , Nandre Ratnapratik 
Published: April 2021

PurposeReputation risk onsets in focal firm whenever any entity of its supply chain (SC) faces risk-crisis event. A framework for modeling and predicting holistic SC reputation risk is proposed by integrating operational risk (OR) drivers originating from upstream and downstream partners and focal firm. A fuzzy cognitive map (FCM) is then developed to predict and quantify Pharmaceutical SC reputation risk.Design/methodology/approachUsing event study methodology, SC reputation risk framework with 13 input OR drivers was developed. Based on pharmaceutical supply chain experts’ opinion, the correlation between reputation risk and its input drivers was estimated. The developed FCM tool was validated using nine real-life instances. A series of “what-if” scenario analyses were performed to demonstrate effectiveness of proactive and reactive mitigation strategies against reputation risk.FindingsQuality and unethical governance risks significantly impacted reputation in Pharmaceutical SC and a firm should prefer “risk avoidance” against these risks. The upstream risks significantly affect reputation in a Pharmaceutical SC as compared to the downstream risks. Proactive mitigation strategies and assertive crisis communication are suggested for upstream risks while diminishment/ bolstering/rebuilding reactive crisis communication is recommended for downstream risks.Originality/valueReputation risk is often overlooked in SC literature. This work develops a model to quantify the reputation risk considering the indirect consequences of the ORs that originates at any point in a SC. The proposed FCM tool aids SC manager to focus on higher attribution risk events and devise an optimal combination of proactive and reactive mitigation strategies to avoid/minimize the economic loss due to reputation crisis.
Analysing the critical success factors and the risks associated with third-party logistics in the food supply chain:a case of coffee industry
Authors: Shanker Saket , Sharma Hritika , Barve Akhilesh 
Published: April 2021

PurposeThe purpose of this study is to analyse various risks associated with third-party logistics (3PL) in the coffee supply chain and to present a framework that computes the influence of these risks on the critical success factors of the coffee supply chain.Design/methodology/approachThe risks have been identified through a comprehensive literature review and validation by industry experts. The paper utilises an interpretive structural modelling (ISM) methodology for developing a hierarchical relationship among the CSFs. Furthermore, fuzzy MICMAC analysis is carried out to categorise these CSFs based on their driving power and dependence value. The fuzzy technique for order preferences by the similarity of an ideal solution (fuzzy-TOPSIS) approach has been applied to prioritise the risks associated with 3PL based on their ability to influence the CSFs of the coffee SC. Furthermore, we performed a sensitivity analysis to analyse the stability of the results obtained in this study.FindingsThis study illustrates ten risks associated with 3PL and five CSFs in the coffee supply chain. The analysis revealed that coffee enterprises need to develop a balanced pricing strategy to ensure a sustainable competitive advantage, whereas the lack of direct customer communication is the most dominant 3PL risk affecting the CSFs.Practical implicationsThis research provides coffee enterprises with a generalised framework with set parameters that can be used to attain a successful coffee supply chain in any developing nation.Originality/valueThe study contributes to the literature by being the first kind of study, which has used fuzzy ISM-MICMAC to analyse the CSFs of the coffee supply chain and fuzzy-TOPSIS for analysing the impact of various risks associated with the 3PL in the coffee supply chain. Thus, this work can be considered a benchmark for future research and advancement in the coffee business field.
Role of gatekeeping on Facebook in creating information benefits for vulnerable, pregnant women in the rural United States
Authors: Potnis Devendra Dilip , Halladay Macy 
Published: April 2021

PurposeThe purpose of this study is to investigate why and how gatekeepers on social networking sites (SNS) create what types of information benefits for gated, vulnerable, pregnant women in the rural United States.Design/methodology/approachThis qualitative study adopts “network gatekeeping” as a theoretical lens to implement a combination of deductive and inductive qualitative approaches for analyzing in-depth interviews with members and administrators of a Vaginal Birth After Cesarean (VBAC) Group on Facebook with a membership of over 500 pregnant women in rural Appalachia in the United States.FindingsThe VBAC group administrators' (a) vision of transforming the existing doctor-centric birth culture to a more mother-centric birth culture in the rural United States, (b) expertise and experience in healthcare and (c) valuing scientific, evidence-based information lead to recurring, authoritative but evolving manifestations of combinations of nine network gatekeeping mechanisms. Implementations of nine network gatekeeping mechanisms (i.e. localization, infrastructure, cost effect, channeling, censorship, regulation, editorial, user-interaction and value adding mechanisms) help VBAC group administrators control interactions and information on the group, thereby creating 16 information benefits for the gated, vulnerable women before, during and after pregnancy.Originality/valueThis sociological study of network gatekeeping posits and proves an “information value chain” (i.e. Why to create information benefits? – How to create information benefits? – What types of information benefits?) for vulnerable, pregnant women on Facebook. Rarely any study shows the role of network gatekeeping mechanisms in implementing an information value chain.