Research Collaborator, how do i find thee?

Expert finding systems assist researchers to automatically find a particular research collaborator. The problem of these systems is that they identify experts based on content of documents linked to the experts (system–centered perspective) and neglect the human interaction perspective, which includes the factors that affect collaborator selection decision in real life. This study examined factors that might affect researchers\u27 decision to collaborate with a particular research collaborator in the university context. Moreover, it investigated how expert finding systems designers can integrate these factors with current expert finding systems in the university context to retrieve the suitable research collaborator. The contribution of this study is the proposed model of collaborator selection criteria which can be integrated with current expert finding systems to improve their effectiveness. The model is based on scientific and technical human capital (STHC) model and social capital theory (SCT)

UNDERSTANDING CONSUMER’S ONLINE IMPULSE BUYING BEHAVIOR IN SOCIAL COMMERCE

This study proposes a model to understand how the different processes of social influence, individual needs, and social gratifications influence the online impulse buying behavior. It also examines the moderating role of impulsiveness on the relationship between the different processes of social influence and urge to buy impulsively. This study uses a quantitative approach and adopts survey as its research method. Drawing on the theories of social influence theory, and uses and gratifications theory, it is hypothesized that social influence processes (compliance, internalization, and identification), individual needs, and gratifications of using social networks (purposive value, entertainment, selfdiscovery, social enhancement and maintaining interpersonal interconnectivity) positively influence consumers\u27 online impulse buying behavior in social commerce sites. It is also assumed that the effect of different processes of social influence on the online impulse buying behavior can be moderated by the trait of impulsiveness

Understanding online impulse buying behavior in social commerce: a systematic literature review

In the past few years, online impulse purchase has garnered attention from researchers in various fields, especially noted in the relatively new field of social commerce (S-commerce). This interactive envronment is a full of impulse buying stimulators. However, no previous studies have been conducted to evaluate the status of the research about online impulse buying behavior (IBB) in S-commerce. Hence, the authors reviewed studies published between 2005 and 2019, to gain an insight into IBB. The authors used an input-moderator-mediator-output model for identifying and classifying factors that influence consumer's online IBB in S-commerce. The authors adopted a review protocol that involved two stages (i.e., automatic and manual), and identified 68 studies that addressed online IBB, of which 24 studies focused on IBB in S-commerce. The systematic review results indicated that survey-based studies (83%) and experiment methods (17%) were prevalent in online IBB in S-commerce. The authors also noted that a majority of existing studies adopted stimulus-organism-response. In this study, the factors that influence online IBB in S-commerce were classified, and a causal-chain framework for online impulse buying was developed. Finally, the authors made recommendations for future research in this field

Expert finding systems: A systematic review

The data overload problem and the specific nature of the experts' knowledge can hinder many users from finding experts with the expertise they required. There are several expert finding systems, which aim to solve the data overload problem and often recommend experts who can fulfil the users' information needs. This study conducted a Systematic Literature Review on the state-of-the-art expert finding systems and expertise seeking studies published between 2010 and 2019. We used a systematic process to select ninety-six articles, consisting of 57 journals, 34 conference proceedings, three book chapters, and one thesis. This study analyses the domains of expert finding systems, expertise sources, methods, and datasets. It also discusses the differences between expertise retrieval and seeking. Moreover, it identifies the contextual factors that have been combined into expert finding systems. Finally, it identifies five gaps in expert finding systems for future research. This review indicated that ≈65% of expert finding systems are used in the academic domain. This review forms a basis for future expert finding systems research

Modeling academic research collaborator selection using an integrated model

Expert finding systems try to alleviate the information overload problem and recommend experts who can satisfy users' needs. They support researchers to find research collaborators automatically. The main challenge of current expert finding systems is that they retrieve experts based on the content of their documents but ignore the human interaction perspective. The human interaction perspective comprises the factors that influence collaborator selection decisions in real life. This study aimed to develop a collaborator selection model for expert finding systems in research universities. This model includes human capital, social capital, and cultural capital factors that influence collaborator selection. The researchers integrated the Scientific and Technical Human Capital (STHC) model and Social Capital Theory to determine these factors. The authors conducted a survey comprising 349 researchers from Malaysian research universities to validate the research hypotheses. A partial least squares structural equation model (PLS-SEM) was employed to analyze all the survey data. The empirical results revealed that the significant factors that influence collaborator selection in the research universities context were cognitive accessibility, reliability, relevance, commitment, physical accessibility, cultural experiences, complementary skills, and research experience. Surprisingly, the results revealed that network ties, relational accessibility, and reputation were insignificant factors for collaborator selection. This study proposed a research model for collaborator selection in the research universities context and provided several recommendations for the policymakers and practitioners. The model will help to provide sufficient criteria to select academic research collaborator in universities and can be used by expert finding systems designers, researchers, collaborators, and universities

The CSFs from the Perspective of Users in Achieving ERP System Implementation and Post-Implementation Success: A Case of Saudi Arabian Food Industry

Enterprise resource planning (ERP) systems have a major impact on the functioning of organizations and the development of business strategy. However, one of the main reasons that cause failure in ERP implementations to achieve the expected benefits is that the system is not fully accepted by end users. User rejection of the system is the second reason after time and budget overrun, while the fourth barrier to ERP post-implementation. Most studies have focused on ERP adoption and installation while neglecting post-implementation evaluation, which omits insights into the priority of ERP systems and CSFs from the stance of ERP users. Therefore, this study identified factors that led to user acceptance of the use of ERP systems at both implementation and post-implementation stages (after installation). In addition, this study assessed the interrelationship between the factors and the most influential factors toward user acceptance. A survey was conducted among pioneers of the food industry in Saudi Arabia, which included 144 ERP system users from assembly and manufacturing, accounts, human resources, warehouse, and sales departments. The descriptive-analytical approach was deployed in this study. As a result, project management, top management support, and user training had significant impacts on the efficacy of ERP system implementation. On the contrary, support for technological changes in new software and hardware, managing changes in systems, procedures, and work steps already in place within the organization, as well as user interfaces and custom code, displayed a direct impact on user acceptance of ERP systems post-implementation. This study is the first research that provides a rating of CSFs from the perspective of its users in Saudi Arabia. It also enables decision makers of food industries to better assess the project risks, implement risk-mitigation methods, create appropriate intervention techniques to discover the strengths and limitations of the ERP users, and value the “best of fit” solutions over “best practice” solutions when determining the most appropriate option for food industries

The CSFs from the Perspective of Users in Achieving ERP System Implementation and Post-Implementation Success: A Case of Saudi Arabian Food Industry

Enterprise resource planning (ERP) systems have a major impact on the functioning of organizations and the development of business strategy. However, one of the main reasons that cause failure in ERP implementations to achieve the expected benefits is that the system is not fully accepted by end users. User rejection of the system is the second reason after time and budget overrun, while the fourth barrier to ERP post-implementation. Most studies have focused on ERP adoption and installation while neglecting post-implementation evaluation, which omits insights into the priority of ERP systems and CSFs from the stance of ERP users. Therefore, this study identified factors that led to user acceptance of the use of ERP systems at both implementation and post-implementation stages (after installation). In addition, this study assessed the interrelationship between the factors and the most influential factors toward user acceptance. A survey was conducted among pioneers of the food industry in Saudi Arabia, which included 144 ERP system users from assembly and manufacturing, accounts, human resources, warehouse, and sales departments. The descriptive-analytical approach was deployed in this study. As a result, project management, top management support, and user training had significant impacts on the efficacy of ERP system implementation. On the contrary, support for technological changes in new software and hardware, managing changes in systems, procedures, and work steps already in place within the organization, as well as user interfaces and custom code, displayed a direct impact on user acceptance of ERP systems post-implementation. This study is the first research that provides a rating of CSFs from the perspective of its users in Saudi Arabia. It also enables decision makers of food industries to better assess the project risks, implement risk-mitigation methods, create appropriate intervention techniques to discover the strengths and limitations of the ERP users, and value the “best of fit” solutions over “best practice” solutions when determining the most appropriate option for food industries

An explanatory mixed methods study on the validity and validation of students’ assessment results in the undergraduate surgery course

<p><b>Background/purpose:</b> There is inadequate evidence of reported validity of the results of assessment instruments used to assess clinical competence. This study aimed at combining multiple lines of quantitative and qualitative evidence to support interpretation and use of assessment results.</p> <p><b>Method:</b> This study is a mixed methods explanatory research set in two stages of data collection and analysis (QUAN : qual). Guided by Messick’s conceptual model, quantitative evidences as reliability and correlation coefficients of various validity components were calculated using students’ scores, grades and success rates of the whole population of students in 2012/2013 and 2013/2014 (<i>n</i>= 383; 326). The underlying values that scaffold validity evidences were identified via Focus Group Discussions (FGD) with faculty and students; sampling technique was purposive; and results were analyzed by content analysis.</p> <p><b>Results:</b> (1) Themes that resulted from content analysis aligned with quantitative evidences. (2) Assessment results showed: (a) content validity (table of specifications and blueprinting in another study); (b) consequential validity (positive unintended consequences resulted from new assessment approach); (c) relationships to other variables [a statistically significant correlation among various assessment methods; with combined score (0.64–0.86) and between mid and final exam results (<i>r</i> = 0.672)]; (d) internal consistency (high reliability of MCQ and OSCE: 0.81, 0.80); (3) success rates and grades distribution alone could not provide evidence to advocate an argument on validity of results.</p> <p><b>Conclusion:</b> The unified approach pursued in this study created a strong evidential basis for meaningful interpretation of assessment scores that could be applied in clinical assessments.</p

Using Theory Integration to Explain Online Impulse Buying Behavior in Social Commerce

Online Impulse Buying Behavior (IBB) significantly increases and contributes to the total S-commerce revenue. Hence, understanding such behavior is critical for an online business to strengthen competitiveness, enhance revenue, and ensure business sustainability. The majority of the prior research used urge-to-buy (UBI) to examine online IBB instead of the actual IBB. Hence, the studies that differentiate between UBI and IBB are limited. Moreover, these studies have concentrated on the impact of consumer characteristics, website, and marketing factors, but they neglected the role of social factors. This study integrated Social Influence and Uses and Gratifications Theories to explore the social factors affecting online IBB. The findings indicate that social influences, entertainment, purposive value, and maintaining interpersonal connectivity influence IBB significantly. UBI also mediates the relationships between social influences and IBB. Impulsiveness moderates the indirect relationships between compliance, internalization, and IBB through UBI. This study has practical implications for social commerce designers, marketers, and managers