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Managing knowledge effectively and efficiently is considered to be a key success factor to gain sustainable competitive advantage for organizations. This study aims to analyze the impact of knowledge management (KM) processes on human resource management (HRM).

To test the relationship of KM processes on HRM, a case study was conducted using structural equation modeling based on data collected from employees and managers of a Telecom company in Turkey. The survey instrument is a self-administered questionnaire composed of 37 questions. Three of them are demographic questions; 20 questions aim to reveal KM processes and 14 for HRM practices. The questionnaire was distributed via google survey link to employees and managers in headquarters office and two branches in Istanbul.

In this paper, the authors tried to investigate the impact of KM practices on the HRM performance of a company. The results indicate that companies with better KM practices tend to perform better at HRM. The main contribution of this paper lies in pointing out that, among the dimensions of KM, knowledge sharing and knowledge utilization have direct impact on HRM, whereas knowledge generation and knowledge sharing have indirect impacts.

The main limitation of this study lies in the fact that data are collected from a single company in telecom industry. Therefore, it is difficult to generalize the results. Although the research findings are aligned with those of the previous studies, further research using data from numerous companies in various industries is still needed to generalize the research findings.

The paper includes implications for the development of knowledge utilization generated and stored within the company. The knowledge can create improvements in the company’s HRM performance if it is shared and used effectively. The paper addresses an important subject and the findings may be used by human resources and KM practitioners interested in the development of organizational knowledge through human resource practices.

This paper fulfills an identified need to investigate the impact of KM practices on the HRM performance of a company.

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.

This study aims to investigate the applicability of technology acceptance model in explaining technology adoption among street vendors in Thailand as a representation of emerging economies.

A pen-and-pencil survey was administered to 370 street vendors in Bangkok; 356 usable surveys were analyzed for a completed rate of 96.2 per cent. Structural equation modeling was used to analyze the data.

This study contributes to the existing technology acceptance literature as follows: First, the predictive power of the technology acceptance model is strong and holds true for street vendors. Second, it revealed that the relationship of entrepreneurial orientation and technology adoption is completely connected through the decision-making process (i.e. trust and system characteristics, otherwise known as usefulness and ease of use). Finally, the degree of product differentiation strengthens the positive relationship between perceived usefulness and the intention to use mobile commerce.

This study advances the previous research on e-commerce adoption in settings outside the formal sector. More specifically, this study developed and validated the extended technology acceptance model in the smallest-scale of entrepreneurs, street vendors, to increase the understanding of the adoption of m-commerce.

The purpose of this study is to evaluate the effects of knowledge management (KM) processes on human resource management’s (HRM’s) performance in family-owned organizations. Therefore, a model is proposed to explain the core processes of KM and their effects on HRM's performance.

A field study is conducted based on data collected from family-owned companies in Turkey. The survey instrument is a self-administered questionnaire composed of 36 questions in total. There are three demographic questions, 18 questions aim to investigate KM processes and 15 questions aim to investigate HRM practices.

The results show that KM processes have significant positive relationships with HRM performance. Among the processes of KM, knowledge generation (KG) is found to have the most significant effect. This study shows that KM processes are enhancing HRM performance in family-owned organizations.

First of all, it is conducted on family-owned companies. Hence, the results may change based on types of organizations. Second, convenience sampling was used in data collection. The majority of data were collected through HRM departments who were available, reliable and easy to access. Despite many advantages of this sampling technique on major disadvantage is lacking clear generalizability. For this reason, it is presumed that HRM awareness is high in the selected participants. Different sampling methods may lead to different results. Thus, for future research, it would be useful to make cross-cultural and cross-sectorial studies to compare the business cultures and to find more accurate outcomes related to KM and HRM implementations.

Nowadays, most of the family-owned companies are well aware of the statement that both KM and HRM have significant positive impacts on organizational outcomes. This research's findings indicate that KM processes enhance HRM performance in family-owned organizations. Therefore, family-owned organizations should pay more attention on KM processes and the linkage between KM and HRM in order to obtain better HRM results.

This purpose of this paper is to evaluate Millennials’ intention to use service mobile apps and assess gender as a moderator.

An extended technology acceptance model framework that includes information quality and self-efficacy guides this research. PLS-SEM is used to evaluate the data and test the hypotheses.

The study reveals that information quality, self-efficacy, perceived ease of use and usefulness, and attitude influence Millennials’ intentions to use service mobile apps. Additionally, gender is found to partially moderate the results.

Service companies that rely on mobile apps to deliver services ought to consider the disparities among the Millennial generation, increasing the likelihood that Millennial customers will adopt service mobile apps and that they receive acceptable customer experiences.

This paper examines the factors influencing adoption and use of service mobile apps among Millennials and examines gender as a moderator. Additionally, guidelines for service mobile app design are included.

The purpose of this paper is to investigate the role of trust and perceived enjoyment in the technology acceptance model by distinguishing distinct stages of adoption among street vendors (initial and advanced adoption stage).

Face-to-face interviews using a structured questionnaire were conducted with 430 street vendors in Bangkok; 415 usable surveys were analyzed. By applying K-means cluster analysis, two segments were found with 200 initial and 215 advanced adopters. A multi-group analysis was employed to investigate differences of relationships between the two groups.

The findings reveal significant similarities and dissimilarities between the two groups of vendors. Both initial and advanced adopters emphasize trust of service providers. The first group relies more on perceived ease of use and perceived enjoyment in motivating m-commerce adoption but depends less on perceived usefulness. On the contrary, for the latter group, the influence of perceived ease of use and perceived enjoyment significantly decreases, but the effect of perceived usefulness significantly increases.

This study sheds light on the managerial implications related to how service providers can tailor their marketing strategies to target vendors in disparate diffusion stages, and it encourages building trust between partners over time.

Due to the lack of theoretical and managerial understanding of factors that drive m-commerce adoption for micro businesses, this study identifies distinct adoption stages and offers valuable insights into the similarities and differences among initial and advanced adopters.

While there have always been cultural differences between countries and between individuals, the virtualisation of markets is rendering the impact of these differences even more salient. There is clear evidence that cultural dimensions are relevant in the adoption and use of e-commerce. The purpose of this paper is to analyse the significant effects of individual cultural dimensions on perceived product quality, perceived risk and purchase intention in e-commerce platforms.

A questionnaire was developed to serve as a tool of measurement. A confirmatory factor analysis was conducted to examine whether all the indicators for the constructs are reliable. A multiple regression analysis was carried out to test the hypotheses.

The results reveal that, in the case of e-commerce platforms, the cultural dimensions uncertainty-avoidance and collectivism exert a significant influence on perceived product quality, perceived risk and purchase intention.

The present study is based on real well-known e-commerce platforms which could have influenced the responses of the sample due to potential past experiences of use. An experimental design based on fictitious platforms could offer more objective findings.

This research contributes to the understanding of e-commerce and the behaviour of consumers during online purchasing, taking into account the cultural differences that may exist between them.

The literature on individual cultural dimensions – that is, non-national cases – and the variables analysed in the present study suffers from great limitations. This study complements a growing interest in analysing the individual cultural dimensions and their effects on the sphere of e-commerce, specifically on perceived product quality, purchase intention and perceived risk during browsing, measured in terms of the six types of risk prevalent in e-commerce platforms.

The purpose of this paper is to construct a fuzzy logic model that acts as a decision support system to minimize inventory-related costs in the field of industrial maintenance. Achieving a balance between the unavailability and over-storage of spare parts is a problem with potentially significant consequences. That significance increases proportionally with the ever-increasing challenge of reducing overall cost. Either scenario can result in substantial financial losses because of the interruption of production or the costs of tied-up capital, also called the “solidification of capital.” Moreover, there is that additional problem of the expiry of parts on the shelf.

The proposed approach relies on inputs from experts with consideration for incompleteness and inaccuracy. Two levels of decision are considered simultaneously. The first is whether a part should be stored or ordered when needed. The second involves comparing suppliers with their batch-size offers based on user-determined criteria. A mathematical model is developed in parallel for validation.

The results indicate that the fuzzy logic approach is accurate and satisfactory for this application and that it is advantageous because of its limited sensitivity to the inaccuracy and/or incompleteness of data. In addition, the approach is practical because it requires minimal user effort.

To the best of the authors’ knowledge, the exploitation of fuzzy-logic altogether with limited sensitivity experts' inputs were never combined for the solution of this particular problem; however, this approach's positive impact is expected to be highly significant in solving a chronic problem in industry.

The purpose of this paper is to examine the antecedents of consumers’ omnichannel (OC) adoption intention and explore how consumers’ personality trait affects their OC adoption behavior.

A total of 227 Korean consumers were invited to participate in a survey study, and partial least squares–structural equation modeling was performed to analyze the measurement and structural models.

The results show that three consumer groups by “Need for Cognition (NFC)” show different response to four identified OC attribute/benefits. Finally, the authors hypothesize and find that shed light on the possible ways to differentiate OC marketing for different target consumers and provide implications for practice and further research.

This study provides empirical evidence that OC is an expanded retail format of e-commerce, which is predominantly affected by how information on the cross-channel marketing mix/retail strategies is delivered to consumers. From communication perspective, findings suggest that retail communication strategy need more careful attention in dealing with individual difference of consumers. In addition, the significant role of NFC on consumers’ OC adoption process validates the importance of customization and differentiation in retailers’ message to different consumer groups. In order to do so, comprehensive analysis on consumer database may be necessary to develop personalized OC service. In-depth analysis of consumer profile may enable more specific methods for marketing and managing consumers in the OC context. Although the study provides additional empirical findings for consumers’ perception on selected characteristics of OC (i.e. delivery approach of information and service in OC and institutional mechanism of OC), there may be additional extrinsic motivation factors which affect consumers’ OC adoption behavior. Extrinsic factors such as web design, convenience, assortment, moving saving which trigger positive perception of OC, may be important determinants to consider. Furthermore, situational factor such as social media (Huseyinoglu et al., 2018) and behavioral factors such as platform use habit (Chen, 2018) may also be significant in assessing consumers’ OC adoption behavior. Finally, this study has been conducted on a particular culture setting, and the generalizability of study findings, particularly about the role of NFC may need to be improved by cross-culture evaluation.

NFC-high and medium consumers are likely to use the four OC service options in future, while a larger proportion of the NFC-low consumers shows negative response to the OC service usage. This evidently shows that innovative features of OC service are not homogenously adopted by consumers, and subject to their experience and intrinsic difference, adoption rate was found to vary. This suggests that companies need to pay careful attention in implementing innovative OC service, and may approach communication of information strategically for different consumer groups. For high-NFC consumers with previous BOPIS experience, retailers may effectively engage them by enhancing and expanding the BOPIS service features, yet for low-NFC consumers, raising awareness and initiating interest among unexperienced consumers may be more imminent issue. Indirect communication using peripheral cues may be necessary to draw less motivated consumer group.

The OC retailers may need to set the scope and range of information into in-depth information and simplified/unified information, and address the different type of information to different consumer groups in order to facilitate consumers’ OC adoption. For consumers with medium and high NFC, it may be necessary to provide in-depth, detailed information relevant to product quality and promotional items consistently both in on/offline channels to gain their trust. Consumers with low NFC are found to prefer unified and simplified messages on information for price, delivery, inventory in on/offline channels.

This study addresses the perceived value of unique and fundamental features and specificity of OC service by consumers with different personality trait. The authors develop consumers’ OC adoption model based on the theory of reasoned action, which depicts relationship between four extrinsic motivation factors and consumers’ intention for the OC usage, which is further differentiated by an intrinsic factor. We segment consumers based on individual difference of “NFC” and investigate how different consumer groups value different aspect of the selected OC attributes and benefits. Findings validate the importance of customization and differentiation in retailers’ message to different consumer groups and in facilitating consumers’ OC adoption.