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The setting up of e-university has been slow-going. Much of e-university slow progress has been attributed to poor business models, branding, disruptive technologies, lack of organisational structure that accommodates such challenges, and failure to integrate a blended approach. One of the stumbling blocks, among many, is the handling of evaluation process. E-university models do not provide much automation compared to the original brick-and-mortar classroom model of delivery. The underlining technologies may not have been supportive; however, the conditions are changing, and more evaluation tools are becoming available for academics. The paper aims to discuss these issues.

This paper identifies the extent of current online evaluation processes. In this process, the team reviews the case study of a UK E-University using Adobe Connect learning model that mirrors much of the physical processes as well as online exams and evaluation tools. Using the Riva model, the paper compares the physical with the online evaluation processes for e-universities to identify differences in these processes to evaluate the benefits of e-learning. As a result, the models can help us to identify the processes where improvements can take place for automating the process and evaluate the impact of this change.

The paper concludes that this process can be significantly shortened and provide a fairer outcome but there remain some challenges for e-university processes to overcome.

This paper examines the vital quality assurance processes in academia as more universities move towards process automation, blended or e-university business models. Using the case study of Arden University online distance learning, the paper demonstrates, through modelling and analysis that the process of online automation of the evaluation process is achieved with significant efficiency.

Over the last ten years (2010–2019), the amount of nonperforming loans (NPLs) has been more than tripled in the banking industry of Bangladesh. Thus, this paper explores the behavioral dimensions, which contribute to the NPLs.

By analyzing social, cultural, psychological, political, economic, internal control mechanism and law enforcement contexts of Bangladesh, this study identifies nepotism (NE), moral hazard (MH ), inadequate collateral (IC), poor credit assessment (CA), lack of proper monitoring (LPM), repayment flexibility (RF), business risk (BR) and lending interest rate (LIR) as the catalysts of raising NPLs. Next, a structured questionnaire survey has been performed in Bangladesh among bank officials who closely work in credit risk management, credit supervision, corporate finance and loan recovery department. Finally, partial least squares (PLS) path modeling, a variance-based technique of structural equation modeling, is used in this study as a statistical tool to analyze the data.

This study finds that moral hazard problem, lack of proper monitoring, inadequate collateral and nepotism have significant positive impact on the raising of NPLs. Unfortunately, this study does not find any statistical significance of poor credit assessment, business risk and repayment flexibility on the NPLs in Bangladesh. Finally, this study reveals that lending interest rate has significant positive impact on the NPLs. Hence, this study concludes that domestic lending interest rate is not lower enough, and so this double-digit interest rate affects negatively to loan repayment.

This study concludes that moral hazard problem of borrower, lack of board independence, lack of proper monitoring, form and extent of collateral, management lobbying, indecorous personal guarantee by management, dependent-independent directors and nepotism are extensively contributing for occurring NPLs in Bangladesh. These noninstitutionalized stimulators should adequately be scrutinized by regulatory bodies, policy makers and banks. Besides, LIR needs to be decreased in a convenient level for mitigating NPLs.

This study is the empirical evidence of behavioral dimensions related with the growth of NPLs in Bangladesh by taking direct response from knowledgeable bankers.

As family and nonfamily businesses differ in how they do business, the focus of this manuscript is on understanding how strategy-level models can be misinterpreted if family involvement is not considered. Thus, in this manuscript, the focus is on understanding the extent to which strategic orientations (market orientation and technology orientation, which reflect strategic approach), strategic performance metric focus (financial-based, optimization-based and market-based, which reflect strategy evaluations) and strategic audacity (which reflects boldness in envisioning and delivering strategic outcomes) play a role in driving firm performance – in family businesses vs nonfamily businesses. Understanding how these drivers impact performance differently in family vs nonfamily businesses enables companies to better direct their strategic efforts.

After presenting theoretical concepts, authors use regression analysis on a sample of companies in a developing European Union (EU) country (n = 282) to evaluate the impact of strategic orientation, strategic performance metric focus and strategic audacity on firm performance separately in three samples: the full sample (consisting of both family and nonfamily-owned firms), sample of family businesses and the sample of nonfamily businesses.

The role of strategic orientation, strategic audacity and focal goals in driving firm performance differs depending on the company type (family vs nonfamily). In the case of nonfamily businesses, strategic audacity and technology orientation with the focus on efficiencies and markets are driving firm performance. In the case of family businesses, both market and technology orientation are important drivers of performance; the focus on financial and market indicators of performance is positively impacting performance, while the focus on efficiency indicators is diminishing the performance of family businesses. Thus, results show that of the performance drivers for family businesses, some are insignificant (strategic audacity), while some even have a negative impact (focus on optimization-based measures of performance) on family businesses' performance. Moreover, results show that some of the drivers of performance in case of family businesses (market orientation and focus on financial-based measures of performance) are not drivers of outstanding performance in the case of nonfamily businesses.

Best practices differ for family vs nonfamily businesses. In case of family businesses, comparing them to nonfamily businesses, market orientation and the focus on financial-based measures of performance have a greater impact on firm performance, while, at the same time, family businesses should refrain focusing on pursuing optimization-based measures of performance as such pursuit drives down their performance. Understanding the drivers of performance specific to family businesses will enable such firms to better navigate contexts characterized by ambiguity and uncertainty.

The manuscript evaluates how models, generally researched in the overall firm metrics, differ between family businesses and nonfamily businesses, thus delivering new insights into the important marketing concepts.

The present study connects the literature on sustainable HRM with that on employability to investigate the relationship between sustainability-oriented human resource actions and organizational outcomes. More specifically, this study explores how training for employability affects the employer–employee relationship and employee retention. Furthermore, this study considers competitive intensity as a potential moderator in these relationships.

The analyses draw on the fourth European Company Survey (ECS 2019) with a sample of 21?869 firms with more than ten employees. Two separate logistic regression models were used to test the hypothesis.

The results show that training for employability contributes to improving the employer–employee relationship and that competitive intensity positively shapes this relationship. Contextually, training for employability reduces the overall employee retention of the firm.

Although this study supports the potential win–win nature of employability support, especially for companies that operate in competitive markets and an uncertain environment, it also highlights the existence of paradoxical sustainability tensions that should be managed by employers.

This paper aims to analyze the degree of contribution of the entrepreneurial orientation (EO) of organizations in the use of agile methods (AM) in project management.

A quantitative approach with the application of a survey with project professionals resulted in 206 valid answers. The data were analyzed using structural equation modeling and the method of partial least squares (PLS).

The results present empirical evidence of the significant contribution of EO in the use of AM in project management, confirming the main hypothesis of this study. This effect was not influenced by the control variables tested.

This study contributes to the development of research on AM and minimizes the literature gap on the connection between entrepreneurship and AM. The results are limited to the sample. Studies with broader samples and different segments are suggested, as well as the contribution of each dimension of the EO to AM.

Innovativeness, risk-taking, proactiveness, autonomy and competitive aggressiveness (EO dimensions) can contribute to the use of AM and guide actions to develop these behaviors, pursuing better adherence to agile values and the use of AM in project management.

The originality of this study regarding the connection between EO and AM lies on the presentation of a theoretical model of this relationship and reduces the gap in this research field. Given the degree of EO contribution in AM (19.7%), there are other factors that affect the use of AM in project management that should be investigated.

This study aims to investigate the link between audit quality and in-court debt restructuring. The aim is to understand whether the confirmation of debt restructuring plans is affected by audit quality, which, in the light of agency theory, reduces information asymmetries between outsiders (creditors and the court) and insiders (shareholders and managers) of the debtor company.

A logistic regression is performed to test whether higher audit quality is associated with an increased probability of successfully completing a debt restructuring proceeding (RP). Consistent with the literature, audit quality is assessed ex ante based on auditor size, which is used as a proxy for independence. The analysis considers private Italian companies.

Audit quality positively affects debt restructuring. Among financially distressed companies, those audited by an audit company are more likely to succeed in RPs than those audited by a single practitioner. There is no evidence of a Big N effect.

This study fills a gap in literature as, in contrast to other financial and governance characteristics, audit quality has never been studied before as a determinant of efficient restructuring. It contributes to the literature on auditing and governance by highlighting the importance of audit quality in complex situations such as RPs, and it expands on debt restructuring literature by considering the importance of the information exchanged during RPs.

There are a number of different approaches for calculating creep-fatigue (CF) damage for design, such as the French nuclear code RCC-MRx, the American ASME III NH and the British R5 assessment code. To acquire estimates for the CF damage, that are not overly conservative, both the cyclic material softening/hardening and the potential changes in relaxation behavior have to be considered. The data presented here and models are an initial glimpse of the ongoing European FP7 project MATISSE effort to model the softening and relaxation behavior of Grade 91 steel under CF loading. The resulting models are used for calculating the relaxed stress at arbitrary location in the material cyclic softening curve. The initial test results show that softening of the material is not always detrimental. The initial model development and the pre-assessment of the MATISSE data show that the relaxed stress can be robustly predicted with hold time, strain range and the cyclic life fraction as the main input parameters. The paper aims to discuss these issues.

Engineering models have been developed for predicting cyclic softening and relaxation for Gr. 91 steel at 550 and 600°C.

A simple engineering model can adequately predict the low cycle fatigue (LCF) and CF softening rates of Gr. 91 steel. Also a simple relaxation model was successfully defined for predicting relaxed stress of both virgin and cyclically softened material.

The data are not yet complete and the models will be updated when the complete set of data in the MATISSE project is available.

The models described can be used for predicting P91 material softening in an arbitrary location (n/N_f0) of the LCF and CF cyclic life. Also the relaxed stress in the softened material can be estimated.

The models are simple in nature but are able to estimate both material softening and relaxation in arbitrary location of the softening curve. This is the first time the Wilshire methodology has been applied on cyclic relaxation data.

This study aims to present the climate change effect on soil moisture regimes in Mexico in a global 1.5°C warming scenario.

The soil moisture regimes were determined using the Newhall simulation model with the database of mean monthly precipitation and temperature at a scale of 1: 250,000 for the current scenario and with the climate change scenarios associated with a mean global temperature increase of 1.5°C, considering two Representative Concentration Pathways, 4.5 and 8.5 W/m² and three general models of atmospheric circulation, namely, GFDL, HADGEM and MPI. The different vegetation types of the country were related to the soil moisture regimes for current conditions and for climate change.

According to the HADGEM and MPI models, almost the entire country is predicted to undergo a considerable increase in soil moisture deficit, and part of the areas of each moisture regime will shift to the next drier regime. The GFDL model also predicts this trend but at smaller proportions.

The changes in soil moisture at the regional scale that reveal the impacts of climate change and indicate where these changes will occur are important elements of the knowledge concerning the vulnerability of soils to climate change. New cartography is available in Mexico.

This paper investigates the effect of perceived value (hedonic value, utilitarian value, and conditional value) on customers’ behavioral intentions toward dining at Chinese restaurants in Bangladesh.  Moreover, this study examines the mediating effect of self-direction value and the moderating effect of price fairness on the association between perceived value and behavioral intentions.

The proposed model was empirically tested by collecting 390 useable responses from full-table service restaurants in Bangladesh via personal interview. Data were analyzed by testing the measurement model, predictive relevance, effect size and structural model using SMART PLS 3.

The research findings suggest that hedonic, utilitarian and conditional values significantly influence customers’ behavioral intentions toward dining at Chinese restaurants. Moreover, self-direction value partially mediates, and price fairness strongly moderates the linkage between perceived value and behavioral intentions.

This sfloattudy offers useful insights for managers who want to know the factors influencing behavioral intentions toward dining at Chinese restaurants. The findings also assist restaurant practitioners in knowing that customers' perceived value via self-direction value (personal value) and price fairness strongly predict behavioral intentions.

To the best of the author’s knowledge, this research is the first attempt to delve into customers' behavioral intentions toward dining at Chinese restaurants with the proposed model.

Immersive virtual reality (IVR) has been frequently proposed as a promising tool for learning. However, researchers have commonly implemented a plethora of design elements in these IVR systems, which makes the specific aspects of the system that are necessary to achieve beneficial outcomes unclear. Against this background, this study aims to combine the literature on presence with learning theories to propose that the ability of IVR to present 3D objects to users improves the presence of these objects in the virtual environment compared with 2D objects, leading to increased learning performance.

To test this study’s hypotheses, the authors conducted a 2 (training condition: approach vs avoid) x 2 (object presence: high vs low) between-subjects laboratory experiment that used IVR with 83 female participants.

The results support this study’s hypotheses and show that training with high object presence leads to greater reactions to cues (chocolate cravings) and improved health behaviour (chocolate consumption).

This study shows that increased object presence leads to unique experiences for users, which help reinforce training effects. Moreover, this work sheds further light on how immersive computer technologies can affect user attitudes and behaviour. Specifically, this work contributes to IVR research by showing that learning effects can be enhanced through an increased degree of object presence.