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This paper aims to develop a validated scale that can help in measuring the gamified e-service quality (GE-SQ) in the e-retailing industry.

The paper uses a mixed-method approach to develop and validate a scale for GE-SQ. First, reviewing the literature and interviewing with 14 experts were conducted to explore the initial items and themes. A sample of 215 participants was collected from online customers in Iran. Explanatory factor analysis (EFA) was conducted to this sample to validate the categorized themes. Next, confirmatory factor analysis (CFA) was used to confirm the validity of the established dimensions by a sample of 549 online customers.

The results extracted 26 items and categorized them to 6 dimensions. “Ease of use”, “reliability”, “emotional appeal”, “interactivity”, “security” and “visual appeal” have been identified as the dimensions of the GE-SQ scale in the e-retailing industry. The validity of the developed scale containing 6 dimensions and 26 items was confirmed.

This research identified GE-SQ as a valid and reliable scale with six dimensions for measuring e-service quality in e-retailing. This finding has made significant academic contributions to the service quality and the retailing literature.

The purpose of this paper is to examine how total quality management (TQM) and corporate social responsibility (CSR) affect entrepreneurial orientation (EO) in the context of the hotel industry.

Drawing from the hospitality literature, the relationships among TQM, CSR and EO were hypothesized and tested. Based on the valid responses collected from a survey questionnaire, structural equation modeling approach was used to examine the research model.

The results indicate that TQM positively affects CSR. Furthermore, CSR was a significant antecedent of EO.

The combination of a developing country context and the significance of TQM, CSR and EO in hotel industry enhance the contextual contribution of the paper.

The purpose of this paper is to investigate the effects of internal marketing and market orientation on organizational performance based on the balanced scorecard (BSC).

A cross-sectional research design, drawing upon a questionnaire survey, was used to collect data from a sample of restaurants. Structural equation modeling was performed to test the relationship among the research variables using findings from the 164 participants.

The results revealed that internal marketing positively influenced market orientation and performance. In addition, market orientation was a direct antecedent of performance.

The findings provide important academic, practical and political implications for restaurant industry.

This paper aims to investigate the impact of memorable destination experience and destination attractiveness on tourist-destination identification and destination love. It also investigates the moderating role of gender.

Using the cluster sampling method, the study selected cities of a developing country with the most popular destinations. A questionnaire survey was used to collect data from a sample of foreign and domestic tourists. To test the research model, a covariance-based structural equation modelling approach was adopted.

According to the results, destination attractiveness and memorable experience had a positive effect on tourist-destination identification. Similarly, tourist-destination identification positively influenced destination love. In addition, destination love impacts the intention to revisit and word-of-mouth. Finally, the results indicate that gender moderates some of these relationships.

Understanding what items can create strong bonds between destination and tourist is of great importance. By providing a validated conceptual model that traces the relationship between memorable experience, destination attractiveness and tourist-destination identification through cognitive, affective and evaluative dimensions, this study attempts to answer prior calls for examination from the viewpoint of tourism scholars.

The purpose of this review paper was identifying barriers to the use of telemedicine systems in primary health-care individual level among professionals.

This study used Scopus and PubMed databases for scientific records identification. A systematic review of the literature structured by PRISMA guidelines was conducted on 37 included papers published between 2009 and 2019. A qualitative approach was used to synthesize insights into using telemedicine by primary care professionals.

Three barriers were identified and classified: system quality, data quality and service quality barriers. System complexity in terms of usability, system unreliability, security and privacy concerns, lack of integration and inflexibility of systems-in-use are related to system quality. Data quality barriers are data inaccuracy, data timeliness issues, data conciseness concerns and lack of data uniqueness. Finally, service reliability concerns, lack of technical support and lack of user training have been categorized as service quality barriers.

This review identified and mapped emerging themes of barriers to the use of telemedicine systems. This paper also through a new conceptualization of telemedicine use from perspectives of the primary care professionals contributes to informatics literature and system usage practices.

Developing strategic relationships with third-party logistics (3PL) providers has long been one of the key challenges in automotive supply chains. The purpose of this paper is to propose a new approach for evaluation and indexing 3PL providers using the Kano model.

The statistical population used in this research comprises managers from the Iranian automotive industry. The Kano evaluation approach is used to analyze the data collected and to classify the criteria used in selection of the preferred 3PL providers.

The results suggest that the proposed framework, based on the Kano classification, can be a powerful tool for the automotive industry in evaluating 3PL providers. Moreover, the analyses indicate that 3PL providers need to improve their service offering in aspects that are to be found in the Kano model’s requirements, namely, must-be, one-dimensional and attractive.

This study contributes to the supply chain management literature by being the first to classify selection indices of 3PL providers in the automotive industry using the Kano model.

The purpose of this study is to examine the impacts of different forecasting methods (judgmental, quantitative and mixed forecasting) on firms' supply chains and competitive performance.

Working with three groups of manufacturing companies, we explore the consequences of judgmental, quantitative and mixed forecasting methods on firms' competitive performance in supply chains. The validity of constructs and path relationships was examined using structural equation modeling (SEM).

Our findings indicate that supply chain efficiency influences both cost reduction and customer satisfaction. In addition, the three dimensions of supply chain performance are shown to be direct antecedents of competitive performance. Our empirical results reveal that although all studied forecasting methods meaningfully influence supply chain performance, the mixed method, compared to the other two methods, has greater capabilities to enhance supply chain performance.

This research provides originality and insight into supply chain practices through forecasting methods to improve competitive performance.