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The purpose of this paper is to investigate which exchange structure, direct or generalized exchange, better promotes community solidarity in online communities (OCs). Furthermore, it examines the moderating effects of activity intensity on the relationship between exchange structure and community solidarity in order to resolve the conflicts in extant literature.

The research model is developed based on the social exchange theory (SET). It also accommodates social structures as determinants of exchange structure, such as organizational identity orientation (OIO) and distributive justice norms. Data in this study were collected from 376 OCs through an e-mail survey.

Generalized exchange has stronger effects on community solidarity than direct exchange. Furthermore, there was a significant difference in the impact on community solidarity between generalized exchange and direct exchange at high-activity intensity levels, whereas no significant differences were found at low-activity intensity conditions. OIO significantly influences exchange structure. Additionally, equality norm significantly influences generalized exchange, whereas need norm significantly influences direct exchange.

In information systems research, there have not been any attempts to identify the determinants of exchange structure in OCs. Furthermore, only a couple of studies have empirically investigated the relationship between exchange structure and OC solidarity, and yet they found conflicting results. This research makes contributions to an enhancement of theoretical precision of the SET in two ways: by empirically examining the determinants of exchange structure, and by introducing a third variable, activity intensity, as a moderator of the relationship between exchange structure and OC solidarity.

Presents over sixty abstracts summarising the 1999 Employment Research Unit annual conference held at the University of Cardiff. Explores the multiple impacts of globalization on work and employment in contemporary organizations. Covers the human resource management implications of organizational responses to globalization. Examines the theoretical, methodological, empirical and comparative issues pertaining to competitiveness and the management of human resources, the impact of organisational strategies and international production on the workplace, the organization of labour markets, human resource development, cultural change in organisations, trade union responses, and trans‐national corporations. Cites many case studies showing how globalization has brought a lot of opportunities together with much change both to the employee and the employer. Considers the threats to existing cultures, structures and systems.

This study concerns how well stock market regulators prevent trading by using trading halts when they suspect asymmetric information in the market. Security trading halts in the Portuguese stock market are analysed to measure the effectiveness of trading halts imposed by market authorities as well as their timing in interrupting and restarting trading. Stock price returns, abnormal returns and volatility are used to compare the significance of differences for pre‐and post‐halt periods. First the global sample is used to analyse abnormal returns and then it is split into good and bad news halts. A GARCH (1,1) model is also applied and found to be a more sensitive instrument on justifying trading halts. Justification for trading halts tends to rise as event window size increases, suggesting that supervisory authorities tend to spot the dominant changes better. In fact, when very short time‐sampling periods are used weaker justifications for stock halting are found. The opportunity for market authorities to interrupt trading seems to be increasing. In terms of timing they seem, on the whole, to be delayed when imposing trading halts or anticipated when authorising the restart. Nevertheless, when considering good news, although the halt tends to be late the restart seems to be on time. It is concluded that all methodologies should be jointly applied by stock watch departments of supervision authorities for detecting trading under asymmetric information, but special attention is drawn to GARCH methodologies that show superior ability for detecting changes in stock characteristics.

This study aims to examine and discuss the importance and benefits of Open Innovation (OI), Transformational Leadership (TL), Innovation Strategy (IS), Creative Climate (CC), Radical Innovation (RI) and Sustainable Competitive Advantage (SCA) for small and medium-sized enterprises (SMEs) in Dubai. This work also examines the mediating impact of future foresight drivers (FFD) on SMEs' SCA. The study provides a theoretical framework for enhancing SMEs' organizational performance and highlights the need for future empirical research.

The study uses a systematic literature review (SLR) approach and a bibliometric analysis approach to collect, examine and analyze data from previous research on OI, TL, IS, CC, RI and SCA. This work evaluated 110 publications from separate scholarly databases, Scopus and Web of Science (WoS).

The study finds a positive relationship between OI, TL, IS, CC, RI and SCA and that future empirical research is needed. While there is limited information on the impact of these concepts on SMEs in the Middle East and especially in Dubai, the study presents new concepts to be debated. The study provides a vital tool for businesses to improve their performance by adopting OI, TL and IS and analyzing their present competitive status to develop new strategies and build competitiveness.

The originality of this study lies in its contribution to understanding the relationships among OI, TL, IS, CC and RI and their impact on SMEs' SCA in Dubai. By emphasizing the importance of OI, TL and IS in improving SMEs' performance and competitiveness, this study provides valuable insights for SME managers seeking to enhance their organizations' sustainability and long-term success. The review also identifies a gap in the literature regarding the impact of these concepts on SMEs in the Middle East, emphasizing the need for further research in this area.

The purpose of this paper is to report on research in which a fuzzy quality function deployment (QFD) approach has been used for enhancing agility improvement of a traditional manufacturing organization.

QFD approach incorporated with fuzzy logic was used for scientific prioritization of agile decision domains, agile attributes and agile enablers. Data were gathered from a traditional manufacturing organization and the prioritization was carried out.

The implementation experience indicated that fuzzy QFD approach could be used for enabling agility improvement.

The implementation study was carried out by substituting the data gathered from only one manufacturing organization. Yet the findings and contribution of this research work would be useful to the captains of the majority of the manufacturing companies situated in the world.

The approach used in this paper will indicate the vital agile decision domains, agile attributes and agile enablers. This process will enable the organizations to compete in the global market.

A case study has been reported to indicate the feasibility of deploying fuzzy QFD approach in the industrial scenario for enabling agility improvement. Hence, the findings are original.

Zakat during the COVID-19 outbreak has played a vital role and has been significantly discussed in the virtual environment. Such information about zakat in the virtual world creates unstructured data, which contains important information and knowledge. This paper aims to discover knowledge related to zakat administration during the pandemic from the information in a virtual environment. Furthermore, the discussion is contextualised to the socio-economic debates.

This is a qualitative study operated via text mining to discover knowledge of zakat administration during the COVID-19 pandemic. The National Board of Zakat Republic of Indonesia (BAZNAS RI) is selected for a single case study. This paper samples BAZNAS RI’s situation report on COVID-19 from its virtual website. The data consists of 40 digital pages containing 19,812 characters, 3,004 words and 3,003 white spaces. The text mining analytical steps are performed via RStudio. The following R packages, networkD3, igraph, ggraph and ggplot2 are used to run the Latent Dirichlet Allocation (LDA) for topic modelling.

The machine learning analysis via RStudio results in the 16 topics associated with the 3 primary topics (i.e. Education, Sadaqah and Health Services). The topic modelling discovers knowledge about BAZNAS RI’s assistance for COVID-19 relief, which may help the readers understand zakat administration in times of the pandemic from BAZNAS RI’s virtual website. This finding may draw the theory of socio-economic zakat, which explains that zakat as a religious obligation plays a critical role in shaping a Muslim community's social and economic processes, notably during the unprecedented times of COVID-19.

This study uses data from a single zakat institution. Thus, the generalisation of the finding is limited to the sampled institution.

This research is both theoretically and practically important for academics and industry professionals. This paper contributes to the novelty in performing text mining via R in gaining knowledge about the recent zakat administration from a virtual website. The finding of this study (i.e. the topic modelling) is practically essential for zakat stakeholders to understand the contribution of zakat in managing the COVID-19 impacts.

This work derives a theory of “socio-economic zakat” that explains the importance of a zakat institution in activating zakat for managing socio-economic issues during the pandemic. Thus, paying zakat to an authorised institution may actualise more maslahah (public interest) compared to paying it directly to the asnaf (zakat beneficiaries) without any measurement

This study is among the pioneers in gaining knowledge from Indonesia’s zakat management during the COVID-19 outbreak via text mining. The authors’ way of analysing data from the virtual website using RStudio can advance Islamic economics literature.

The purpose of this paper is to examine the efficacy of microbial elimination using different sanitizers in raw vegetables (cherry tomatoes, spring onions, Chinese chives, and chicory) and to analyze the efficacy of Escherichia coli O157:H7 reduction by type of sanitizer and vegetable.

To assess the sanitizing effects of microbial elimination by variety of vegetable, the samples were grouped into four different washing methods: control (no sanitizer), 100 ppm chlorine, 100 ppm electrolyzed water, and 200 ppm electrolyzed water after prewashing. Subsequently, quantitative microbiological experiments were conducted to assess aerobic mesophilic plate count (APC), coliform, E. coli, and Bacillus cereus, and sensory changes of the sanitized vegetables were tested. Thereafter, measurement of the sanitizing effects on bacterial reduction after inoculation with E. coli O157:H7 was conducted.

The microbial levels of four types of vegetables ranged from 3.37 to 5.24 log CFU/g for APC, 2.41 to 5.57 log CFU/g for E. coli, 0.25 to 5.40 log CFU/g for coliform, and 0.83 to 5.44 log CFU/g for B. cereus. After three types of sanitizing treatments, microbial reduction effects showed 0.94-1.84 log CFU/g for APC, 0.56-1.00 log CFU/g for E. coli, 0.18-1.26 log CFU/g for coliform, and 0.56-1.23 log CFU/g for B. cereus (p<0.05). In sensory evaluation, there were no significant differences in taste and flavor between with and without sanitizing treatments. Regarding bacterial reduction after inoculation with E. coli O157:H7, the microbial reduction on vegetables was shown to be in the range of 0.27-1.57 log CFU/g with 100 ppm sodium hypochlorite, 0.66-3.07 log CFU/g with 100 ppm electrolyzed water, and 0.79-2.55 log CFU/g with 200 ppm electrolyzed water. Chicory, cherry tomato, and spring onion showed significant reduction levels of E. coli O157:H7 after sanitation (p<0.05).

This study revealed that different sanitization methods are required for different types of vegetables. Electrolyzed water treatment (100 ppm) is a more effective and safe method of washing raw vegetables. Given that the main purpose of sanitizing fresh-cut produce is to maximally reduce microorganism levels, different methods of sanitizing fresh-cut produce with an adequate washing method should be used according to vegetable type.

Using a meta-regression analysis, we quantitatively review the empirical literature on the relation between effective tax rate (ETR) and firm size. Accounting literature offers two competing theories on this relation: The political cost theory, suggesting a positive size-ETR relation, and the political power theory, suggesting a negative size-ETR relation. Using a unique data set of 56 studies that do not show a clear tendency towards either of the two theories, we contribute to the discussion on the size-ETR relation in three ways: First, applying meta-regression analysis on a US meta-data set, we provide evidence supporting the political cost theory. Second, our analysis reveals factors that are possible sources of variation and bias in previous empirical studies; these findings can improve future empirical and analytical models. Third, we extend our analysis to a cross-country meta-data set; this extension enables us to investigate explanations for the two competing theories in more detail. We find that Hofstede’s cultural dimensions theory, a transparency index and a corruption index explain variation in the size-ETR relation. Independent of the two theories, we also find that tax planning aspects potentially affect the size-ETR relation. To our knowledge, these explanations have not yet been investigated in our research context.

To date, the validity of the empirical tests that employ the mean‐variance approach for testing the risk‐return relationship in the research stream named Bowman’s paradox is inherently unverifiable, and the results cannot be generalized. However, this problem can be solved by developing an econometric model with two fundamental characteristics: first, the use of a time‐series model for each firm, avoiding the traditional cross‐sectional analysis; and, second, the estimation of a model with a single variable (firm’s rate of return), whose expectation and variance are mathematically related according to behavioral theories, forming a heteroskedastic model similar to GARCH (generalized autoregressive conditional heteroskedasticity). The application of this methodology for Bowman’s paradox is new, and its main advantage is that it solves the previous criticism of the lack of identification. With this model, we achieve results that agree with behavioral theories and show that these theories can also be carried out with market measures.

This article presents the results of a survey of 202 male Taiwanese consumers. In this study, consumer judgements of two technological products varying in their level of complexity made in highly, moderately, and newly industrialised countries were obtained in a multi‐attribute context. The results show that the country‐of‐origin image of moderately and newly industrialised countries was less negative for technologically simpler products (i.e. a television) than they were for technologically complex products (i.e. a computer). It appears that the negative image of moderately and newly industrialised countries can be attenuated by making Taiwanese consumers more familiar with products made in these countries and/or by providing them with other product‐related information such as brand name and warranty. Newly industrialised countries were perceived more negatively as countries of design than as countries of assembly, especially in the context of making technologically complex products. The image of foreign countries as producers of consumer goods was positively correlated with education. The more familiar consumers were with the products of a country, the more favourable was their evaluation of that country. Consumer involvement with purchasing a technologically complex product such as a computer was positively associated with the appreciation of products made in moderately industrialised countries. Managerial and research implications are derived from these results.