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This study aims to investigate the adoption intention of artificial intelligence (AI) in family businesses through the perspectives of digital entrepreneurship and entrepreneurship orientation.

The study examines contributing factors explaining the adoption intention of AI in the context of family businesses. The developed research model is examined and validated using structural equation modelling based on 631 respondents' data. Purposeful sampling is used to collect the respondents' data.

The proposed model included two endogenous (i.e. business innovativeness and adoption intention) and six exogenous variables (i.e. affordances, culture and flexible design, entrepreneurial orientation, generativity, openness and technology orientation) through ten direct paths and three indirect paths. The results depicted the significant influence of all the exogenous variables on the endogenous variable reflecting support of all the hypotheses. The business innovativeness partially mediates the relationships of culture and flexible design, entrepreneurial orientation and technology orientation with adoption intention. Further, the results demonstrated a model variance of 24.6% for business innovativeness and 64.2% for adoption intention of artificial intelligence in the family business.

The study contributes to theoretical developments in entrepreneurship and family business research and AI's theoretical progress, especially to digital entrepreneurship.

Theoretically, it contributes to the literature of entrepreneurship, particularly digital entrepreneurship. Additionally, the research model adds to the role of entrepreneurial orientation and digital entrepreneurship in the emerging family entrepreneurship literature. Considering the scarcity of research in this field, the empirically validated model explaining critical antecedents of AI adoption intention in the family business is a foundation for discussion, critique and future research.

Despite the increasing role of the data warehouse as a supportive decision-making tool in today's business world, academic research for measuring its effectiveness has been lacking. This paucity of academic interest stimulated us to evaluate data warehousing effectiveness in the organizational context of Jordanian banks.

This paper develops a theoretical model specific to the data warehouse system domain that builds on the DeLone and McLean model. The model is empirically tested by means of structural equation modelling applying the partial least squares approach and using data collected in a survey questionnaire from 127 respondents at Jordanian banks.

Empirical data analysis supported that data quality, system quality, user satisfaction, individual benefits and organizational benefits have made strong contributions to data warehousing effectiveness in our organizational data context.

The results provide a better understanding of the data warehouse effectiveness and its importance in enabling the Jordanian banks to be competitive.

This study is indeed one of the first empirical attempts to measure data warehouse system effectiveness and the first of its kind in an emerging country such as Jordan.

There is always a need to discover how a paradox between a customer’s desire for a more personalized experience and their privacy and security concerns would shape their intention to continue using contactless payment methods. However, personalization–privacy paradox has not been well-covered over the area of contactless payment. Therefore, this study aims to empirically examine the impact of personalization–privacy paradox on the customers’ continued intention (CIN) to use contactless payment.

/methodology/approach – The empirical part of the current study was conducted in Saudi Arabia by collecting the primary data using online questionnaire from a convenience sample size of 297 actual users of contactless payment methods.

Based on structural equation modeling, personalization and privacy invasion were approved to significantly impact perceived value of information disclosure (PVD). Strong causal associations were confirmed between perceived severity, structural assurance and response cost with privacy invasion. Finally, both PVD and privacy invasion significantly predict CIN.

There are other important factors (i.e. technology interactivity, technology readiness, social influence, trust, prior experience, etc.) were not tested in the current study. Therefore, future studies would pay more attention regarding the impact of these factors. The current study data were also collected using a convenience sample of actual users of contactless payment methods. Therefore, there is a concern regarding the generalizability of the current study results to other kind of customers who have not used contactless payment.

This study has integrated both personalization–privacy paradox and protection motivation theory in one model. The current study holds value in providing a new and complete picture of the inhibitors and enablers of customers’ CIN to use contactless payment, including new types of inhibitors. Furthermore, personalization–privacy paradox has not been fully examined over the related area of Fintech and contactless payment in general. Therefore, this study was able to extend the theoretical horizon personalization–privacy paradox to new area (i.e. contactless payment) and new cultural context (Saudi Arabia).

The purpose of this paper is to examine an integrated model of factors affecting attitudes toward online shopping in Jordan. The paper introduces an integrated model of the roles of perceived website reputation, relative advantage, perceived website image, and trust that affect attitudes toward online shopping.

A structured and self-administered online survey was employed targeting online shoppers of a reputable online retailer in Jordan; MarkaVIP. A sample of 273 of online shoppers was involved in the online survey. A series of exploratory and confirmatory factor analyses were used to assess the research constructs, unidimensionality, validity, and composite reliability (CR). Structural path model analysis was also used to test the proposed research model and hypotheses.

The empirical findings of this study indicate that perceived website reputation, relative advantage, perceived website image, and trust have directly and indirectly affected consumers’ attitudes toward online shopping. Online consumers’ shopping attitudes are mainly affected by perceived relative advantage and trust. Trust is a product of relative advantage and that the later is a function of perceived website reputation. Relative advantage and perceived website reputation are key predictors of perceived website image. Perceived website image was found to be a direct predictor of trust. Also, the authors found that 26 percent of variation in online shopping attitudes was directly caused by relative advantage, trust, and perceived website image.

The research examined online consumers’ attitudes toward one website only therefore the generalizability of the research finding is limited to the local Jordanian website; MarkaVIP. Future research is encouraged to conduct comparative studies between local websites and international ones, e.g., Amazon and e-bay in order to shed lights on consumers’ attitudes toward both websites. The findings are limited to online shoppers in Jordan. A fruitful area of research is to conduct a comparative analysis between online and offline attitudes toward online shopping behavior. Also, replications of the current study’s model in different countries would most likely strengthen and validate its findings. The design of the study is quantitative using an online survey to measure online consumers’ attitudes through a cross-sectional design. Future research is encouraged to use qualitative research design and methodology to provide a deeper understanding of consumers’ attitudes and behaviors toward online and offline shopping in Jordan and elsewhere.

The paper supports the importance of perceived website reputation, relative advantage, trust, and perceived web image as keys drivers of attitudes toward online shopping. It further underlines the importance of relative advantage and trust as major contributors to building positive attitudes toward online shopping. In developing countries (e.g. Jordan) where individuals are generally described as risk averse, the level of trust is critical in determining the attitude of individuals toward online shopping. Moreover and given the modest economic situation in Jordan, relative advantage is another significant factor affecting consumers’ attitudes toward online shopping. Indeed, if online shopping would not add a significant value and benefits to consumers, they would have negative attitude toward this technology. This is at the heart of marketing theory and relationship marketing practice. Further, relative advantage is a key predictor of both perceived website image and trust and the later is a major driver of attitudes toward online shopping. Online retailers’ executives and managers can benefit from such findings for future e-marketing strategies and retaining customers to achieve long-term performance objectives.

This paper is one of the early empirical endeavors that examined factors affecting attitudes toward online shopping in Jordan. This study provides evidence on the factors that determine online shoppers’ attitudes as an antecedent to consumers purchase decisions. From a theoretical perspective, this study contributes to the existing body of knowledge by revealing the sort of cause and effect relationships among relative advantage, perceived website reputation, perceived website image, in addition to trust, and their effect on consumers’ attitudes toward online shopping. Moreover, this paper is one of handful research that has distinguished between perceived website image and perceived website reputation along with their relationships and more specifically in the context of online shopping. From an international e-marketing perspective, online retailers planning to expand their operations to include Jordan or the MENA Region have now valuable empirical evidence concerning the predictors of online shopping attitudes and online shoppers’ behavior upon which e-marketing strategies are formulated and implemented.

The purpose of this paper is to examine consumer attitudes toward online shopping in Jordan. The paper introduces an integrated model which includes trust, perceived benefits, perceived web quality, and electronic word of mouth (eWOM) along with their relationships in order to examine their effects on consumer attitudes toward online shopping.

A structured and self-administered online survey was employed targeting online shoppers of a reputable online retailer in Jordan; i.e. MarkaVIP. A sample of 273 online shoppers was involved in the online survey. A series of exploratory and confirmatory factor analyses were used to assess the research constructs, unidimensionality, validity, and composite reliability. Structural path model analysis was also used to test the hypothesized relationships of the research model.

The empirical findings of this study indicate that consumer attitudes toward online shopping is determined by trust and perceived benefits. Trust is a product of perceived web quality and eWOM and that the latter is a function of perceived web quality. Hence, trust and perceived benefits are key predictors of consumer attitudes toward online shopping, according to the results. Further, the authors also found that higher levels of perceived web quality lead to higher levels of trust in an online shopping web site. Perceived web quality was found to be a direct predictor of trust, and the former positively and significantly influences perceived benefits. Also, the authors found that 28 percent of the variation in online shopping attitudes was caused by perceived benefits and trust.

The research sample included only early adopters who are usually described as personal innovators and risk takers. Future research is encouraged to focus on other groups such as non-adopters to understand their online shopping attitudes. Another limitation is derived from the geographical context of the current study; that is Jordan. The findings are not necessarily applicable to other Arab countries and the rest of the world. Therefore, replications of the current study in different countries would most likely strengthen and validate its findings. Also, the study is cross-sectional which does not show how attitudes of consumers may change over time. The authors encourage future studies to employ a longitudinal design to understand the changes in consumers’ attitudes toward using online shopping over time. Finally, this study examined only one case in point and thus findings cannot be generalized to other online shopping web sites. Future research is highly encouraged to examine consumers’ attitudes toward other online shopping web sites inside and outside Jordan.

The paper supports the importance of trust and perceived benefits as key drivers of attitudes toward online shopping in emerging markets like Jordan. It further underlines the importance of perceived web quality contribution to perceived benefits and trust as well as the key role of the later in forming online shoppers’ attitudes. Online retailers’ executives and managers can benefit from such findings for future e-marketing strategies and acquire new customers to achieve long-term performance objectives.

This paper is one of the very few attempts that examined attitudes toward online shopping in the Arab world. Importantly, it revealed the drivers of online shoppers’ attitudes in Jordan. National and international online retailers planning to expand their operations to Jordan or to the Middle East Region have now valuable empirical evidence concerning the determinants of online shopping attitudes and online shoppers’ behavior in Jordan upon which e-marketing strategies can be formulated and implemented.

The aim of this study is to analytically develop a reference model for engineering (i.e. analysis, design, development, evaluation, delivery, maintenance, modification, and management) powerful value networks capable of creating innovative mobile data services.

The paradigm followed is that of design‐science research (DSR) which incorporates two main iterative processes: build and evaluate. For building the model (i.e. the design science artifact in this research), the authors followed three iterations: literature review analysis; semi‐structured interviews analyzed through content analysis; and examination of real‐life case studies. But for evaluating the model, the authors utilized the NTT DoCoMo's i‐mode case.

This paper puts forward a novel model for engineering value networks of mobile innovations. This model is composed of seven design constructs and their relationships. The developed model is argued to provide significant utility for telecoms in helping them to identify and design powerful value networks following a systematic and practical approach.

The data sources is somewhat limited and the sample is somewhat small which may result in lack of sufficient statistical power. Moreover, the analysis may have overlooked some important concepts and theories related to innovations and value networks.

This study contributes to the current body of knowledge about how telecoms can best analyze and design their value networks in an approach that maximizes the potential of developing innovative mobile data services.

The purpose of this paper is to define critical design and evaluation factors of business models (BM) for mobile network operators (MNOs) in general, and more specifically for mobile data services.

This paper follows a qualitative approach. Aiming to identify critical design factors for mobile BMs, this research, as a part of larger research, examines three real-life cases related to mobile data service BM design and engineering. These cases are Orange Business Services (OBS); Apple’s iPhone services and applications, and NTT DoCoMo’s i-mode service.

In this paper, the authors provide a framework for designing and developing Market-Aligned, Cohesive, Dynamic, Explicit, and Unique BMs with Fitting Network-Mode, which, if adopted by MNOs, would ensure their long-term success by improving the sustainability and innovation capabilities of their BMs. These critical design factors address different spheres of the mobile business: “Cohesion” and “Explicitness” are operator-oriented, whereas “Market-Alignment,” “Dynamicity,” “Uniqueness,” and “Fitting Network-Mode” are industry-oriented.

Although the paper provides in-depth analysis of three case studies in the context of mobile telecommunications, the authors cannot claim that the developed framework can be generalized to all services in the mobile telecommunications industry. Further validation through empirical testing is preferred and this could be done in future research.

The developed framework is of value to MNOs as it provides them with a holistic approach for designing and also evaluating successful BMs over time. This is because the developed framework defines critical design factors for BMs in the contexts of their environments.

The domain of BMs is still emerging within the field of information systems. The majority of prior studies either tackled the issue of BM definition or provided taxonomies and classifications of this concept. The originality of this paper comes from the fact that it takes further steps in developing the concept by providing a comprehensive framework which encapsulates critical design and evaluation factors of mobile BMs.

The purpose of this paper is to present the findings of a bibliometric analysis of the evolution and structure of business model research in industrial marketing scholarship during the period between 2011 and 2020 and to discuss potential directions for future empirical research.

Bibliometric methodologies are deployed to objectively evaluate the business model research that has made the most impact within industrial marketing scholarship as well as the prominent scholars and key topics driving the discipline at points in time.

The findings demonstrate the formative but increasing engagement that industrial marketing scholarship has had with business model literature and the limited but increasing degree that business models have influenced industrial marketing literature. Potential directions for the empirical development of business model literature are argued to lie in the areas of collaboration and coopetition by examining the notion of value within the relationships, interactions and/or networks evidenced in European seaports business models.

Bibliometric analysis is retrospective in nature so developments in the literature appear only after some time has elapsed. Different keyword selection when formulating search strings for sampling may have brought some deviations in the analysis.

Research that investigates the link between business models and industrial marketing is still scarce. This paper is among the few that analyze objectively the evolution and structure of business model literature in industrial marketing scholarship from a longitudinal perspective with a particular emphasis on the period between 2011 and 2020.