Competitive Factors of Fashion Retail Sector with Special Focus on SMEs

Are there differences between governing and managing strategic networks of different sizes and ages?

This paper aims to analyze how governance and management of strategic networks (SNs) composed of small firms differ according to network size and length of existence. We analyzed 20 Brazilian SNs, comparing oldest to youngest and largest to smallest. The results show that large SNs have a more robust management structure, automated process control system, and centralized strategic decision-making power. Only small and younger SNs are not centralized and lack incentive mechanisms for members. Moreover, older SNs have a centralized strategic formulation and implementation process, whereas younger SNs have a more inclusive and participatory one. The results confirm previous studies and offer a fine-grained comprehension of the governance of SNs according to the number of members. The findings contribute to the nascent network governance theory and offer insights to network managers who have to reconfigure the governance as the number of members grows.

Effect of CSR on the Financial Performance of Financial Institutions in Kenya

Corporate social responsibility (CSR) is an integral path towards realizing vision 2030 and the sustainable goals of the UN, as well as the sustainable development of individual countries. However, in recent years it has become increasingly clear that these goals cannot be achieved without sustainable corporate practices. Previous research seeking determine the effect of CSR on the financial performance of various institutions have yielded different results, leaving geographical, sectorial, and scholarly gaps. This study aimed to discover the effect of CSR on the financial performance of financial institutions in Kenya, as this country lacks a direct association between CSR and corporate financial performance (CFP). We focused on examining the effect of ethical, charitable, and gender-mainstreaming CSR activities on the financial performance of financial institutions in Kirinyaga County. A study population of 300 employees working in the financial institutions in Kirinyaga County was included, and a sample of 171 participants was selected using stratified and systematic sampling techniques. A causal research design was adopted, and data were analyzed using SPSS software. Questionnaires were administered in person to gather primary data. The study found a strong positive relationship between CSR practices and the financial performance of financial institutions and recommends that firms invest more in ethical, charitable, and gender-mainstreaming CSR activities, as such activities positively influence their financial performance.

Integrated fuzzy AHP and TOPSIS as innovative student selection methodology at institutions of higher learning

BACKGROUND: The selection of students at academic institutions has been a challenging affair given multiple criteria that need to be considered by the institution. Additionally, multiple evaluators and decision makers are involved in the student selection process, rendering it inconsistent. The complexity and subjectiveness in such decisions making requires new and innovative approach in order to be more systematic and transparent. OBJECTIVE: This paper presents an innovative methodology for student selection for admission into an Institute of Higher Learning (IHL) using Fuzzy Analytical Hierarchy Process (FAHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Drawing on the success of using these methods in other fields, this study applies the technique and principles on student selection process. METHOD: Fuzzy Analytical Hierarchy Process (FAHP) is used in determining the weights of the criteria by the decision makers which avoids the vagueness and inconsistencies in decision making process and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method ranks finds out the best alternative solution for student selection by calculating the relative closeness from the positive ideal solution. RESULTS AND CONCLUSION: This research finds using the hybrid method is effective in student selection for IHL and makes the process efficient and bias-free. This method can be applied to various fields and uses where multi-criteria decision making is involved.

Social Networks Marketing and Consumer Purchase Behavior: The Combination of SEM and Unsupervised Machine Learning Approaches

The purpose of this paper is to reveal how social network marketing (SNM) can affect consumers’ purchase behavior (CPB). We used the combination of structural equation modeling (SEM) and unsupervised machine learning approaches as an innovative method. The statistical population of the study concluded users who live in Hungary and use Facebook Marketplace. This research uses the convenience sampling approach to overcome bias. Out of 475 surveys distributed, a total of 466 respondents successfully filled out the entire survey with a response rate of 98.1%. The results showed that all dimensions of social network marketing, such as entertainment, customization, interaction, WoM and trend, had positively and significantly influenced consumer purchase behavior (CPB) in Facebook Marketplace. Furthermore, we used hierarchical clustering and K-means unsupervised algorithms to cluster consumers. The results show that respondents of this research can be clustered in nine different groups based on behavior regarding demographic attributes. It means that distinctive strategies can be used for different clusters. Meanwhile, marketing managers can provide different options, products and services for each group. This study is of high importance in that it has adopted and used plspm and Matrixpls packages in R to show the model predictive power. Meanwhile, we used unsupervised machine learning algorithms to cluster consumer behaviors.

Implementing Online Product Reviews and Muslim Fashion Innovation for Resilience during the New Normal in Indonesia

The COVID-19 pandemic in Indonesia has harmed the fashion sector, particularly SMEs (small and medium-sized enterprises). In the wake of the epidemic, the Muslim Fashion Shop (MFS) sector has experienced a drop in sales. Therefore, developing innovative products and excellent customer approaches are critical to MFS resilience. This pandemic has additionally affected the shift from offline to online sales channels. Online sales features, referred to as online product reviews (OPRs), allow customers to leave comments or evaluations. OPRs are one of the sources of product feature information, and are a means of increasing valued for online consumers that some companies are currently underutilizing. In order to develop Muslim fashion designs, this project performed OPRs. The purpose of this study is to show the benefits of OPRs in the development of new Muslim fashion products in Indonesia in order to assist businesses in surviving in the new normal era. The first phase of OPR data collection at Shopee was carried out in five steps. OPR data were collected in Shopee using NVivo’s N-Capture QSR. The data obtained from phase one were needed in order to equalize perceptions and make corrections using the member check obtained data OPR method using Focus Group Discussion (FGD). The second phase consisted of eight steps. This phase sharpened the results of phase one using expert judgement word frequency analysis in NIVO. The third and final phase analysed the fashion industry’s new normal innovation approach. This research shows the usefulness of OPR data for the evolution of fashion design in Indonesia, among other findings. According to this study, companies’ expertise, experience, and design innovation are essential variables in a changing/disruptive marketplace. Ongoing research suggests utilizing OPRs to generate new design trends, high-quality products, and innovative tactics in order to sustain Muslim fashion business.

Factors Effecting Omnichannel Customer Experience: Evidence from Fashion Retail

This research work was designed to investigate the changing dynamics of the retail landscape driven by omnichannel retailing, and to determine the effects on the omnichannel customer’s experience. The role of omnichannel customer behavior in the relation between omnichannel retailing and customer experience was assessed through a survey of 265 omnichannel customers of different fashion retail brands in Pakistan. The results of partial least squares structural equation modeling (PLS-SEM) showed a strong mediating effect of omnichannel customer behavior in channeling the drivers of omnichannel retailing towards an enhanced customer experience. Omnichannel retailing helps to enhance the customer experience via determinants of omnichannel integration, order fulfilment, usability and seamlessness. The research findings underpin the positive significant effect of all factors of omnichannel retailing on the customer experience. Among the four omnichannel retailing constructs, seamlessness emerged as a major direct and indirect contributor, followed by omnichannel integration and usability dimensions. Notwithstanding the small sample size, this research contributes to the omnichannel retailing landscape of Pakistan’s fashion retail industry by suggesting a functional approach for creating a fully integrated shopping experience and omnichannel strategies for fashion brands. Furthermore, it will also provide brands an opportunity to strengthen their customers’ experience throughout the buying channel.

Trust levels within categories of information and communication technology companies

The arguable claims of levels of trust in politics and business situations motivated this study, which investigates the degree of trust within micro, small, and medium categories of Hungarian Information and Communication Technology (ICT) companies. Different sizes of companies have varying interactions between internal members and their business partners. This study concentrated on exploring Hungarian ICT companies due to their significant role in supporting Industry 4.0. The study population are active Hungarian ICT companies. This research implemented random cluster selection related to the location of ICT firms. It exploited 100 samples, including micro, small, and medium-sized companies, and implemented discriminant analysis to examine the description and hypotheses. First, this study found that the level of trust in institutions within micro, small, and medium-sized companies varies significantly. The level of trust in institutions proliferates within corporations due to the capability of the formal institution to provide fair public services. This research additionally underlined that the performance of the Hungarian government would improve trust amongst the companies. Second, this study concluded that the level of interpersonal trust within three categories of companies was similar. A high level of interpersonal trust would expand internal engagement among the members of companies. Finally, the level of trust in business partners varied significantly within the distinct sizes of Hungarian ICT companies. A high level of trust in corporate associates improves business collaboration, reduces uncertainty, and supports long-term business connections. Levels of institutional trust and inter-organizational trust differed amongst different categories of companies. However, the level of interpersonal trust remained similar within companies of the various sizes.

Workplace Health Promotion, Employee Wellbeing and Loyalty during Covid-19 Pandemic—Large Scale Empirical Evidence from Hungary

Corporate social responsibility (CSR) has become an innovative strategic management tool of socially and environmentally conscious business organizations in the 21st century. Although external CSR activities are better researched, firms’ internal CSR activities such as workplace health promotion and its impact on employee wellbeing are less understood, especially during a pandemic where job security is relatively lower in many sectors of employment. Additionally, wellbeing and good health have been recognized as important targets to achieve as part of the United Nation’s Sustainable Development Goal 3. Therefore, this study investigates the relationship between health-related work benefits and employee wellbeing, satisfaction and loyalty to their workplace. Large scale survey research was performed with responses from 537 employees in Hungary and 16 hypotheses were tested. Data analysis and path modelling using PLS-SEM (Partial Least Squares Structural Equation Modelling) reveal two-layers of factors that impact employee wellbeing, satisfaction and loyalty. We term this as ‘internal locus of control’ and ‘external locus of control’ variables. Internal locus of control variables such as mental and emotional health leads to wellbeing at the workplace but do not directly impact employee satisfaction and loyalty. In contrast, external locus of control factors such as healthcare support leads to wellbeing, satisfaction and loyalty. Employer commitment to healthcare support system is found pertinent especially during the pandemic. We discover wellbeing as a unique standalone construct in this study, which is vital as is it formed by mental and emotional wellbeing of employees, albeit not a determinant of employee workplace satisfaction and loyalty. We theorize workers’ self-reliance and preservation as possible explanations to the disassociation between employee wellbeing and loyalty to workplace during times of crisis and the pandemic.