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The literature includes several studies that define different critical success factors (CSF) which have to be considered to support the implementation of technology-enhanced learning (TEL) approaches. An analysis of such studies revealed that (1) regional differences seem to determine the CSF for TEL approaches, (2) certain CSF are relevant for TEL approaches in general, and (3) professionals in higher education determine which influential factors they consider when implementing TEL approaches. Thus, the question arises: in general, which influential factors do professionals in Austrian and German institutions of higher education actually consider when implementing TEL approaches?

The study is a quantitative research approach based on survey data.

The results show that certain influential factors seem to be generally important, such as the factors of respecting learning success or motivation. However, the outcome of the study also indicated that different moderating variables like experiences and personal relevance affect the professionals’ choices.

The originality and value are in the approach to identify generally important influential factors for the implementation of TEL approaches in Austrian and German institutions of higher education.

The unitized curtain wall system (UCWS), a symbol of modern architecture, is gaining popularity among prefabricated components. Previous studies have focused on both construction technology advances and material selection strategies to facilitate the UCWS. However, the topic of client satisfaction, which drives industry development by targeting clients' demands, has gone unnoticed. Therefore, the current study aims to investigate client satisfaction with UCWS products in Hong Kong by finding its influential factors.

A systematic review was employed to first identify the influential factors. A semi-structured interview was employed to validate the reliability of the extracted factors. The machine learning algorithm Extreme Gradient Boosting (XGBoost) and the Pearson correlation were then employed to rank the importance and correlation of factors based on the 1–5 Likert scale scores obtained through a questionnaire survey.

The findings revealed that “reduction in construction time” and “reduction in construction waste” are the most important factors and have a strong positive influence on client satisfaction.

Unlike previous studies, the present study focused on a novel research topic and introduces an objective analysis process using machine learning algorithms. The findings contribute to narrowing the knowledge gap regarding client preference for UCWS products from both individual and collaborative perspectives, providing decision-makers with an objective, quantitative and thorough reference before making investments in the curtain wall management development.

This study investigated retail influence on the decision making of both parent and child during the purchase of children’s casual‐wear clothing. Principally, it analyses the impact of influential agents on the buying outcome by examining the parent‐child relationship and the retailer influence in relation to need and motivations. By means of 100 parent and child questionnaires and one retail interview, it was concluded that parents were the most influential in deciding which clothes were bought, but children were found to exert a strong influence. The importance of branding to eight to ten year olds supports previous research in that it is closely correlated to peer pressure and the need to be accepted. Retailers were found to influence decision making mainly by the use of merchandise and branding to attract both children and parents. Recommendations for further research are discussed.

International collaboration is a crucial requirement of entrepreneurship, particularly in developing emerging economies. This collaboration seems so necessary in the food industry as a major contributor to environmental, social and economic problems. This paper aims to identify, analyse the influential network relationship and prioritise the key success factors (KSFs) of international collaboration formation in the entrepreneurial food industry with a case study on Iran's emerging economy.

To identify a list of KSFs, a qualitative method, literature review, is initially used. A quantitative method, fuzzy-Delphi, then is employed to finalise the main KSFs based on the entrepreneurial food industry experts' opinion. To analyse the causal relationship, and prioritise the KSFs, a fuzzy decision-making trial and evaluation laboratory (DEMATEL)-analytic network process (ANP) methodology, i.e. FDANP, is applied. At the first stage, the cause–effect diagram of KSFs is extracted using fuzzy DEMATEL and then, the KSFs weights and priorities are evaluated using a fuzzy ANP.

The results illustrate that the characteristics of effective development workers are the leading dimension of a successful international collaboration that directly affects other dimensions. On the other hand, increased marketing and trading is the most important KSF that is directly related to international entrepreneurial collaboration team capabilities and professionalism. The leading and casual role of team members also plays a vital role in strategic and communication issues affecting the collaboration success, e.g. market research and new product development. Availability of financial resources and the ability of partners in continuous financing is also a crucial and required factor for a successful collaboration.

Using an extensive review of the literature to extract the KSFs of international entrepreneurial collaboration and finalising them using a fuzzy-Delphi method and examining the cause-effect relations between them, as well as prioritising the KSFs are the main contributions of this paper.

With the rapid development of the financial market, stock index futures have been the one of important financial instruments. Predicting stock index futures accurately can bring considerable benefits for investors. However, traditional models do not perform well in stock index futures forecasting. This study put forward a novel hybrid model to improve the predictive accuracy of stock index futures.

This study put forward a multivariate deep learning framework based on extreme gradient boosting (XGBoost) for stock index futures price forecasting. First, the original sequences were decomposed into several sub-sequences by variational mode decomposition (VMD), and these sub-sequences were reconstructed by sample entropy (SE). Second, the gradient boosting decision tree (GBDT) was used to rank the feature importance of influential factors, and the top influential factors were chosen for further prediction. Next, reconstructed sequence and the multiple factors screened were input into the bidirectional gate recurring unit (BiGRU) for modeling. Finally, XGBoost was used to integrate the modeling results.

For the sake of examining the robustness of the proposed model, CSI 500 stock index futures, NASDAQ 100 index futures, FTSE 100 index futures and CAC 40 index futures are selected as sample data. The empirical consequences demonstrate that the proposed model can serve as an effective tool for stock index futures prediction. In other words, the proposed model can improve the accuracy of stock index futures.

In this paper, an innovative hybrid model is proposed to enhance the predictive accuracy of stock index futures. Meanwhile, this method can be applied in other financial products prediction to achieve better forecasting results.

This research paper expects to discover the causal relationships between hedonic value and certain factors by using the concept of system dynamics, which is a process-oriented method that can deal with a large number of variables and a higher-order non-linear system. Thus, this research paper’s purposes are to explore the degree of customer delight on re-patronizing intention, investigate the importance of word-of-mouth (WOM) on re-patronizing intention of new customers and discover the gap between service recovery and customer expectation.

This research aims to propose a holistic framework to investigate the factors influencing patronizing and re-patronizing intention by utilizing system dynamics. System dynamics uses simulation to investigate the complex economic system in the society; furthermore, it deals with the decision-making problem. The features of system dynamics include non-linearity, information feedback, time delay and dynamic complexity.

The result showed that customer hedonic value is a major influence. The authors discovered that customer delight, WOM, service recovery and re-patronizing intention are interrelated. The analysis shows hedonic value indirectly influenced customer delight during service experiential process. The result also indicated that a high hedonic value influenced WOM efficiently.

This research aims to understand customer hedonic experience and the important factors that influence service experience. The authors used the concept of system dynamics to analyze the proposed model. A causal loop diagram was used to present the relationships among variables. The results reveal that hedonic value is the most critical factor that influences all the other factors. Customers who experience more hedonic value will accelerate the speed of delivery and amount of WOM. The service experience processes of customer delight, WOM and service recovery will affect the customers’ hedonic value and ultimately affect customers’ re-patronizing intention.

Social contexts and academic environments are key elements in the debate about drivers of entrepreneurial intention and behavior in tertiary students. Nonetheless, the underlying dynamics of student entrepreneurship remain elusive. This study aims to contribute to this discussion by creating an original model that addresses the perception of entrepreneurs and potential entrepreneurs regarding the relationship between social norms, the university environment of support to entrepreneurship and the perceived satisfaction about universities’ conditions to nurture entrepreneurial orientation.

To investigate the hypotheses, a quantitative approach has been chosen through multivariate data analysis using partial least squares structural equation modeling applied to a sample of 595 students from 66 Brazilian universities.

The results indicate that social norms affect how students perceive their university environment in terms of entrepreneurial support. In turn, students’ impressions about such environment shape their levels of satisfaction. However, in contrast with the theory of intention–action gap, differences between actual and potential entrepreneurs could not be identified.

The originality of the research lies in filling an entrepreneurial intention–action gap among undergraduate students, with consistent results in a developing country. Additionally, the research presents new insights for researchers, policymakers and practitioners, exploring the students’ perceived satisfaction in relation to the university environment to support entrepreneurship.

This paper aims to investigate the consumption and actual purchase behaviour of Malaysian food consumers who have experienced of buying imported food and to compare the differences between two groups, Muslim and non-Muslim.

This study collected data from the imported food buyers in Malaysia using a self-administered questionnaire. A total of 435 usable responses were used for further analysis. To identify the Malaysian consumers’ imported food consumption, exploratory factor analysis was used. A t-test and χ² test were applied to compare the difference of consumer groups between Muslim and non-Muslims.

The results have found the determinants of imported food purchasing of both Muslim and non-Muslim consumers and the most perceived quality aspects related to their food lifestyles. Malaysian consumers, regardless of religion, are most affected by the intrinsic factors like nutrients, health functionality and freshness. Muslim consumers also mostly perceive taste as a quality aspect regarding to their food lifestyles.

This study provides a number of potentially important and valuable resources for the manufacturer or exporters seeking to enter the Malaysian food market. Imported food into Malaysia should adopt the customised strategies through the products emphasising health benefits and tastes to achieve maximum marketing results.

This paper contributes important information about imported food consumption of Malaysian consumers. Therefore, it will be useful for food manufacturers or exporters from in particular non-Muslim countries to understand Muslim consumers’ perception and purchasing behaviour towards imported food.

The USA is culturally and ethnically diverse and becoming more so. This diversity is reflected in the variety of cuisines available both in stores and in restaurants. Trends show a movement towards trying out new and exotic foods, increasing interest in vegetarian items, as well as a growing use of spices, herbs, and hot peppers. Asian foods are getting more popular with cuisines from China, Thailand, and Japan in the lead. Indian cuisine is hot, spicy, flavored with herbs, and offers many vegetarian options. This study examines the perceptions of White Americans, South Asians, and those of other ethnic origins in their perceptions of the food and service in Indian restaurants in the USA. The findings of this study suggest that there are universal likes/dislikes as well as differential perceptions between ethnic groups. Implications for researchers and operators of Indian restaurants are provided.

This paper aims to explore the relationships between participants’ perceived benefits of sharing knowledge privately, within a group or with the general public within an organisational knowledge network. The quality and quantity of knowledge shared are explored in relation to the level of knowledge sharing visibility (both content and participants’ profiles).

A research framework of perceived benefits of knowledge sharing is designed; survey and content analysis are used to explore influences of perceived benefits on the quantity and quality of knowledge shared by participants for each level of knowledge sharing within an organisation. The research model is empirically tested using a questionnaire survey with 205 participants and content analysis of their contributions in a high-tech corporate group. This study uses the partial least squares path-modelling method to explore relationships between constructs of the research model.

The current research results show that intrinsic benefits are more influential than extrinsic benefits for private knowledge sharing, while extrinsic rewards play an important role at the public knowledge sharing within organisations. In addition, results indicate that both the quality and quantity of knowledge sharing at the group-level knowledge sharing are significantly higher than at the private and the public levels.

Contemporary knowledge management systems are developed by integrating communication channels in different visibility levels of knowledge exchange. Managers of knowledge management systems are advised to use the research outcome for developing incentive strategies in different levels.

In contrast to previous studies that focus on only one level of knowledge sharing, this paper explores relationships between perceived benefits of knowledge sharing with the quantity and quality of shared knowledge for three distinct levels of knowledge sharing.