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The purpose of this paper is to examine the mechanism of how peer review helpfulness evaluation in online review communities is established, drawing upon the internalization and identification routes of persuasion effect.

Based on book reviews selected from Douban.com (a prestigious review community in China), this study used econometric models to investigate the effects of both reviews and reviewers’ characteristics on peer review helpfulness evaluation in review communities.

Review internalization is more persuasive than reviewers’ identification in peer evaluations, in terms of both short and long reviews. Reviews with extreme negative ratings tend to obtain higher level of helpfulness evaluation than those with positive or moderate ratings. The influence of reviewers’ characteristics is a significant cue in helping consumers to establish the trust perception in the context of short reviews, while its function diminishes in the context of long reviews, thus suggesting the importance of reviewers’ identification for short reviews in review communities.

The findings will enhance current understanding of peer review review helpfulness evaluation in online review communities and help practitioners administrate community reviews intelligently, help members write better reviews and customers in their product browsing experience.

First, this study enriches review evaluation research in review communities by demonstrating the importance of internalization and identification lens of persuasion effect when explaining review helpfulness; second, this study helps to confirm the existing findings that reviews with extreme negative ratings are more helpful than those with moderate or positive ratings in review communities; third, this study proposes a new perspective pertaining to the relationship between reviewers’ identification and helpfulness evaluation.

The purpose of this study is to empirically examine the factors influencing consumer behavioral intention (BI) to use cryptocurrency as a medium of transaction. Constructs from the unified theory of acceptance and use of technology model and an added variable, perceived risk (PR), are examined to predict BI. Age and gender as moderators are retained in this model.

An online survey was used to gather the respondents’ responses on a five-point Likert scale. G * Power was used to calculate the required minimum sample size. A non-probability sampling technique was used to gather data from the 290 respondents based in Malaysia. The final data set was analyzed using the statistical package for the social sciences and SmartPLS software using structural equation modeling.

The results show that three of the five proposed factors (performance expectancy, effort expectancy and facilitating condition) are significant predictors of BI to adopt cryptocurrency as a medium of transaction. Interestingly, PR is not a significant predictor even though prior research studies showed otherwise. Likewise, the relationship between BI and social influence became significant only when age is added as a moderator.

Malaysians are still wary of cryptocurrency, even though global tech firms such as Amazon and Microsoft are already accepting Bitcoin as a payment method. This study aims to provide relevant authorities and businesses (i.e. central bank, retail merchants and cryptocurrency exchangers) insights toward understanding the factors consumers focus on if they were to use cryptocurrency as a medium of transaction.

Most cryptocurrency research are done in developed countries (i.e. USA, UK and EU) perspective. This research addresses the lack of quantitative literature on significant factors influencing BI to use cryptocurrency in developing country context while taking a PR, age and gender into consideration.

The purpose of this paper is research the relationship between size of government and FDI inflows of the host country, and provide a strategies.

Adopting the fixed effect model of panel data, this paper uses related observations from 81 countries between 2002 and 2006 to analyze the impacts of government size (measured by score of government size) on FDI inflows.

The results show that the enlargement of government size has a positive effect on FDI inflows, and the effect is much more significant in developing countries.

There is no previous research concerning the impacts of size of government on FDI inflows. Through the investigation, the paper finds the relation between government size and FDI inflows and provides much valuable information.

This paper aims to provide a process-driven scientific data quality (DQ) monitoring framework by information product map (IP-Map) in identifying the root causes of poor DQ issues so as to assure the quality of scientific data.

First, a general scientific data life cycle model is constructed based on eight classical models and 37 researchers’ experience. Then, the IP-Map is constructed to visualize the scientific data manufacturing process. After that, the potential deficiencies that may arise and DQ issues are examined from the aspects of process and data stakeholders. Finally, the corresponding strategies for improving scientific DQ are put forward.

The scientific data manufacturing process and data stakeholders’ responsibilities could be clearly visualized by the IP-Map. The proposed process-driven framework is helpful in clarifying the root causes of DQ vulnerabilities in scientific data.

As for the implications for researchers, the process-driven framework proposed in this paper provides a better understanding of scientific DQ issues during implementing a research project as well as providing a useful method to analyse those DQ issues based on IP-Map approach from the aspects of process and data stakeholders.

The process-driven framework is beneficial for the research institutions, scientific data management centres and researchers to better manage the scientific data manufacturing process and solve the scientific DQ issues.

This research proposes a general scientific data life cycle model and further provides a process-driven scientific DQ monitoring framework for identifying the root causes of poor data issues from the aspects of process and stakeholders which have been ignored by existing information technology-driven solutions. This study is likely to lead to an improved approach to assuring the scientific DQ and is applicable in different research fields.

This research aims to provide evidence that firms that create product innovations (PROINVs) can improve the performance of firms in Indonesia. And then this research also provides evidence that firms with high technological capabilities can moderate the impact of PROINV on firm performance in Indonesia.

Based on the firm that disclosure research and development expenditures, the number of samples in this study is 261 annual reports for the period 2015–2020. Researchers used an estimate of Moderation Regression Analysis (MRA) with STATA 14.0.

The results showed that PROINV significantly affected firm performance, while technology capabilities (TECHCAP) did not. Then TECHCAP can moderate the impact of PROINV on the performance firm. This research showed that TECHCAP are pure moderation, whereas TECHCAP can weaken the impact of PROINV on firm performance.

This research can provide empirical results that firms in Indonesia must adapt to meet the needs of society in creating PROINVs and technological innovations to maintain a sustainable national economy. And then, this research provides the understanding that high TECHCAP can create sustainable PROINVs that can affect firm performance.

The novelty in this study researchers added variable moderation of technological capabilities to the model of the effect of PROINV on firm performance. A firm with high technological capabilities will be balanced with good research and development activities to create a long-term and sustainable firm orientation.

Following the hierarchy-of-effects model, this study aims to propose a two-step process framework to investigate social media post efficacy via attraction and likes.

The study analyzes 113,785 social media posts from 126 WeChat official accounts to explore how external (headline features and account type) and internal (content features and media type) features impact social media post attractions and likes, respectively.

The antecedents of post attraction differ from those of post likes. First, headline features (punctuation, length, sentiment and lexical density) and account type significantly influence social media post attraction. Second, content features (depth, tone, domain specificity, lexical density and readability) and media type affect social media post likes.

First, this study considers online user engagement as a two-step process regarding social media posts and explores different influencing factors. Second, the study constructs new variables (account type and domain specificity) in each stage of the two-step process model.

Mixed emotions (i.e. consumer ambivalence) play a central role in approach‐avoidance conflicts in retailing. In order to assess how consumer ambivalence impacts shopping behaviour, this paper seeks to conceptualize and investigate the multi‐dimensional antecedents of approach‐avoidance conflicts, experienced by shoppers in changing retail environments, and the importance of approach‐avoidance conflicts for consumers' decision to stay and complete their purchase in that particular shopping channel.

Using a cross‐country study, which compared online and offline consumers, the paper tested the influence of the situation, product, and reference group on shoppers' intentions; and identified how consumers' mixed emotions influenced approach‐avoidance conflicts in different retail settings.

Whereas some distinctions could be drawn between online and offline contexts when examining the impact of market‐related, product‐related and social factors on consumers' decision to shop (H1, H2, H3 and H4), no clear distinction could be drawn between online and offline channels in terms of mediating effects of mixed emotions (H5, H6 and H7). Mixed emotions (ambivalence) did mediate the impact of certain product‐related, market‐related and personal factors on consumers' intention to purchase.

Retailers need to reduce the impact of consumers' emotional responses to the retail setting where mixed emotions are likely to lead to consumers leaving the stores. For online shops, those retailers are successful who are able to induce behavioural reactions that make consumers return and explore the web site and not use it for search only.

Responding to calls for further research on mixed emotions and their consequences, the paper captures the complex impact of consumers' mixed emotions on approach‐avoidance conflicts, and thereby extends earlier work on consumer ambivalence.

Demand foresting significantly impacts supply chain (SC) design and recovery planning. The more accurate the demand forecast, the better the recovery plan and the more resilient the SC. Given the paucity of research about machine learning (ML) applications and the pharmaceutical industry’s need for disruptive techniques, this study aims to investigate the applicability and effect of ML algorithms on demand forecasting. More specifically, the study identifies machine learning algorithms applicable to demand forecasting and assess the forecasting accuracy of using ML in the pharmaceutical SC.

This research used a single-case explanatory methodology. The exploratory approach examined the study’s objective and the acquisition of information technology impact. In this research, three experimental designs were carried out to test training data partitioning, apply ML algorithms and test different ranges of exclusion factors. The Konstanz Information Miner platform was used in this research.

Based on the analysis, this study could show that the most accurate training data partition was 80%, with random forest and simple tree outperforming other algorithms regarding demand forecasting accuracy. The improvement in demand forecasting accuracy ranged from 10% to 41%.

This study provides practical and theoretical insights into the importance of applying disruptive techniques such as ML to improve the resilience of the pharmaceutical supply design in such a disruptive time.

The finding of this research contributes to the limited knowledge about ML applications in demand forecasting. This is manifested in the knowledge advancement about the different ML algorithms applicable in demand forecasting and their effectiveness. Besides, the study at hand offers guidance for future research in expanding and analyzing the applicability and effectiveness of ML algorithms in the different sectors of the SC.

The purpose of this paper is to investigate the factors influencing the adoption of internet banking services in Mauritius. Drawing from the technology acceptance model, theory of reasoned action, theory of planned behaviour and the extensive literature on demographic profiling of internet banking users, trust and security aspects associated with adoption rate of internet banking, this paper combines various predetermined constructs in one model. The different constructs such as perceived ease of use, perceived usefulness, subjective norms, attitudes, behavioural intentions, security and trust aspects, the level of awareness on internet banking services and demographic variables such as age, income, gender and education into one integrated framework. Hence, the paper will deepen understanding of the specific factors underpinning the adoption of internet banking in Mauritius.

This paper reports upon the empirical findings of the customer survey on the various factors impacting on the adoption of internet banking by the questionnaire method. The Internet Banking Services Acceptance Model (IBSAM) is further validated through a survey instrument administered to 384 respondents visiting various banking institutions across the nine districts throughout Mauritius to ensure proper geographical coverage. The questionnaires were further processed and analysed with the statistical programme SPSS, by using descriptive and inferential analysis.

Data analysis showed that perceived ease of use and perceived usefulness have a direct influence on the adoption of internet banking in Mauritius. Results have also indicated that both trust and security aspects are deemed crucial factors to explaining internet banking adoption in Mauritius. Further examination of the inferential analysis highlighted that level of education and income level of respondents may be a major determinant in influencing the adoption of internet banking.

This research provides banking institutions with significant information on the various aspects that need to be highlighted in their banking communications strategies to increase the adoption rate of internet banking services. Banking institutions need to stress upon the benefits of internet banking services, ease to use, trust and security aspects. The ndings of the research provide valuable insights for the banking industry and also urge upon a reshaping of their e-marketing strategy in relation to internet banking services in Mauritius. The research findings revealed that secured web contents and design are key tools to increase the adoption rate of internet banking. Practical recommendations to increase web usefulness and trust, and guidelines to reduce perceived risk are also provided in the present research paper.

The purpose of the study is to fill up significant gaps in the literature on internet banking landscape in the context of developing countries like Mauritius. The findings are expected to be of significant use to the commercial banks and other financial institutions offering or planning to offer internet banking solutions in the near future. An understanding of the factors influencing the adoption of internet banking services is essential for marketing practitioners so as to capitalize upon the underlying benefits of internet banking and hence, offer banking customers an online experience coupled with a greater level of personalization and customization.

This paper aims to improve the understanding of the institutional pressures that shape the intention to adopt waqf accounting and reporting. The study seeks to answer two research questions as follows: what are the challenges in the adoption of waqf accounting and reporting in waqf institutions; and how do institutional pressures influence the adoption of waqf reporting in Malaysia. Drawing on the work of DiMaggio and Powell and Scott of institutional theory, this paper provides empirical evidence of institutional pressures on the adoption of waqf reporting in Malaysia and the challenges faced in adopting waqf accounting and reporting.

This study uses qualitative research method with an explanatory case study approach. Data are collected through semi-structured interviews with the accountants of State Islamic Religious Council and Customs of Terengganu, an informal conversation with the Deputy Director of Accountant Generals Department of Malaysia and document reviews, mainly the Malaysian Accounting Standard Board Research paper.

The findings show that coercive pressure such as government regulation contributes to challenges in the adoption of waqf accounting and reporting. Normative pressures contribute to challenges in formulating standardised waqf accounting and reporting, whereas mimetic pressure contributes to challenges in the comparability of the waqf accounting and reporting among the state Islamic religious councils in Malaysia. In the efforts towards the standardisation of waqf accounting and reporting practice, a similarity of the process of the standard implementation or the institutional isomorphism of the State Islamic Religious Council in Terengganu is strongly influenced from the result of the mandate of its Board members and Fatwa council members (coercive isomorphism and religion logic) and minor influence from the normative isomorphism (the result of the participants’ education and profession) as well as the result of imitating other State of Islamic Religious Councils (SIRCs) because of the ambiguity of the process or certain practice.

The study contributes to the knowledge by extending institutional theory and the possible role of religion logic in Islamic perspective to organisational behaviour and accounting development in SIRCs. This study is limited to the understanding of the challenges in the adoption of waqf accounting and reporting but could also be applicable to the adoption of other accounting standards or regulations.

This paper offers key implications for research, in improving the understanding of contextual factors and decision to adopt waqf accounting and reporting. The standard setter needs to be aware of the influence of contextual factors that shape decision towards standardisation of accounting and reporting for waqf.

The interplay of institutional pressures and implications of religion logic provides an interesting approach to understanding the waqf institutions’ intention to adopt accounting and reporting for waqf.