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Fulltext Perceived socially responsible-HRM on talent retention: The mediating effect of trust and motivation and the moderating effect of other-regarding value orientation

Rawshdeh ZA, Makhbul ZKM, Rawshdeh M, Sinniah S

Front Psychol, 2022;13:1087065.
PMID: 36726518 DOI: 10.3389/fpsyg.2022.1087065

INTRODUCTION: Studies have shown that there is a growing interest in corporate social responsibility (CSR) and talent management, and the identified links between their aspects. Thus, the current study examined the relationship between socially responsible human resource management (SRHRM)-identified as CSR strategies and practices directed at employees to underpin the effectiveness of CSR implementation-and talent retention. In addition, this study employed a mediation-moderation framework with employee attitude (motivation and trust) as a mediating variable and other-regarding value orientation (ORVO) as a moderating variable. Thus, the current study contributes to talent management and CSR current knowledge by analyzing the depth of the relationship by way of exploring the moderating and mediating process. It answers the "how" and "when" questions and explains the mechanism through which an organization can use its socially responsible HRM practices for retaining talented employees.
METHODS: A total of 418 people from the Klang Valley area in Malaysia participated in the study. The hypotheses in the study were tested using PLS structural equation modeling.
RESULTS: The results of the study showed that (a) perceived SRHRM was positively related to talent retention, (b) this relationship was partially mediated by the employee's attitude (motivation and trust), and (c) ORVO did not moderate the relationship between perceived SRHRM and talent retention.
DISCUSSION: Furthermore, the study findings provide concrete and actionable recommendations on how to formulate and implement appropriate SRHRM policies and practices as they are not only essential for the successful implementation of external CSR programs but also essential for retaining talented employees and for improving their motivation and organizational trust.
Fulltext Modeling the intention and usage of medicine vending machine: Using partial least squares-structural equation modelling and necessary condition analysis

Yang Q, Al Mamun A, Gao J, Makhbul ZKM

Digit Health, 2023;9:20552076231194935.
PMID: 37599900 DOI: 10.1177/20552076231194935

OBJECTIVE: This study aimed to investigate the factors influencing the intention to use and actual usage of medicine vending machines (MVMs) in China and to close the existing literature gap by examining the relationship between perceived convenience (PC), perceived trust, performance expectancy, effort expectancy, and social influence, on the intention to use MVM in a comprehensive manner. The impact of facilitating conditions on MVM adoption was also examined. Finally, customer age was tested as a moderator.
METHODS: This was a cross-sectional study that used data collected through a self-administered questionnaire. A combination of partial least squares-structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) technique was used to analyze and discuss the 308 valid questionnaires, test the hypotheses, and conduct an in-depth analysis.
RESULTS: The results showed that PC, perceived trust, and performance expectancy were significantly related to the intention to use MVM. Effort expectancy was a non-significant predictor of intention to use MVM. Social influence was a significant negative predictor of the intention to use MVM. More importantly, performance expectancy was found to be a necessary factor for MVM intention, providing new marketing ideas for MVM owners. Age had a significant moderating effect on the facilitating conditions and intention to use vending machines. The relatively young population is more conscious of the facilitating conditions.
CONCLUSIONS: The findings of this study are of considerable importance as a guide for the main user group of vending machines. The combined analysis and discussion of PLS-SEM and NCA provide a sound theoretical basis for the practical implications of this study. In the future, we will attempt to use this technique in other areas of study. In terms of theoretical implications, this study provides technical references for future research.
Fulltext Impact of green intellectual capital, green organizational culture, and frugal innovation on sustainable business model innovation: Dataset of manufacturing firms in Pakistan

Bhatti SM, Zia Ul Haq M, Kanwal S, Makhbul ZKM

Data Brief, 2024 Jun;54:110419.
PMID: 38690320 DOI: 10.1016/j.dib.2024.110419

This dataset integrates and helps examine the impact of green intellectual capital (GIC) which comprises of green human capital (GHC), green structural capital (GSC), and green relational capital (GRC) on green organizational culture (GOC). Secondly, it enables the investigation of GOC as a mediation phenomenon between GIC and sustainable business model innovation (SBMI). Moreover, it highlights the moderation of frugal innovation (FGL) on GOC and SBMI relationship. An online survey was designed using Google forms to collect data from 345 middle/ senior management employees working in medium and large manufacturing firms in Pakistan. Unit of analysis is the organization; thus, each response represents one firm. SPSS and Smart PLS 4 were used for data analysis. Dataset demonstrates that GHC, GSC, and GRC positively impact GOC, which subsequently enhances SBMI. Moreover, effective implementation of FGL can bolster the effect of GOC on SBMI. The dataset is valuable as it can be reproduced and reanalyzed. It offers insights for professionals to revolutionize their innovation for environmental initiatives particularly in the manufacturing sector and train their staff to use modern eco-friendly ingenuities leading to enhanced business performance as well as sustainable development goals. Furthermore, the dataset holds significance for policymakers involved in implementing green economic revitalization programs, enabling them to offer incentives or penalties to encourage compliance.
Modeling the significance of green orientation and culture on green innovation performance: moderating effect of firm size and green implementation

Bhatti SM, Al Mamun A, Wu M, Naznen F, Kanwal S, Makhbul ZKM

Environ Sci Pollut Res Int, 2023 Sep;30(44):99855-99874.
PMID: 37615918 DOI: 10.1007/s11356-023-29353-4

The current global trend in sustainable business practices is to optimize green innovation performance. To protect the environment and maintain their own survival, organizations must strengthen their green innovation capabilities. Drawing on the recourse-based view and ecology modernization theory (EMT), this study examines the direct effect of green strategic orientations, green entrepreneurial orientation, green market orientation, green innovation orientation, and green organizational culture on the firm's green innovation capability, as well as the mediating effect of green innovation capability on the relationship of these four factors and green innovation performance. Besides, this study also explored the moderating effects of green management system implementation and firm size on the association between green innovation capability and green innovation performance. To test the hypothesized model, a questionnaire survey was administered to gather responses from 293 medium-sized and large manufacturing firms operating in Pakistan. The partial least squares method was used for data analysis. The results revealed that green entrepreneurial orientation, green market orientation, green innovation orientation, and green organizational culture positively impacted green innovation capability, which subsequently positively influenced green innovation performance. Moreover, effective implementation of green management systems can bolster the effect of green innovation capability on green innovation performance, and the mediating effect of green innovation capability has also been confirmed. These indicated that the management of medium and large manufacturing firms operating in Pakistan should focus on encouraging green innovation and training employees regarding the latest eco-friendly technologies to attain performance and sustainable development goals. Policymakers should implement green business development programs and offer rewards or penalties for promoting compliance. The present study contributes greatly to the literature by applying EMT as an alternative to address the mediating role of green innovation capability and the moderating effect of green management system implementation in enhancing firms' green innovation performance.
Fulltext Predicting the Mass Adoption of eDoctor Apps During COVID-19 in China Using Hybrid SEM-Neural Network Analysis

Yang Q, Al Mamun A, Hayat N, Md Salleh MF, Salameh AA, Makhbul ZKM

Front Public Health, 2022;10:889410.
PMID: 35570961 DOI: 10.3389/fpubh.2022.889410

Technology plays an increasingly important role in our daily lives. The use of technology-based healthcare apps facilitates and empowers users to use such apps and saves the burden on the public healthcare system during COVID-19. Through technology-based healthcare apps, patients can be virtually connected to doctors for medical services. This study explored users' intention and adoption of eDoctor apps in relation to their health behaviors and healthcare technology attributes among Chinese adults. Cross-sectional data were collected through social media, resulting in a total of 961 valid responses for analysis. The hybrid analysis technique of partial least squares structural equation modeling (PLS-SEM) and artificial neural network (ANN) analysis was applied. The obtained results revealed the significant influence of eDoctor apps in terms of usefulness, compatibility, accuracy, and privacy on users' intention to use eDoctor apps. Intention and product value were also found to suggestively promote the adoption of eDoctor apps. This study offered practical recommendations for the suppliers and developers of eHealth apps to make every attempt of informing and building awareness to nurture users' intention and usage of healthcare technology. Users' weak health consciousness and motivation are notable barriers that restrict their intention and adoption of the apps. Mass adoption of eDoctor apps can also be achieved through the integration of the right technology features that build the product value and adoption of eDoctor apps. The limitations of the current study and recommendations for future research are presented at the end of this paper.
Fulltext Sustainable customer retention through social media marketing activities using hybrid SEM-neural network approach

Yang Q, Hayat N, Al Mamun A, Makhbul ZKM, Zainol NR

PLoS One, 2022;17(3):e0264899.
PMID: 35245323 DOI: 10.1371/journal.pone.0264899

Social media has changed the marketing phenomenon, as firms use social media to inform, impress, and retain the existing consumers. Social media marketing empowers business firms to generate perceived brand equity activities and build the notion among consumers to continue using the firms' products and services. The current exploratory study aimed to examine the effects of social media marketing activities on brand equity (brand awareness and brand image) and repurchase intention of high-tech products among Chinese consumers. The study used a cross-sectional design, and the final analysis was performed on 477 valid responses that were collected through an online survey. Partial least squares structural equation modelling (PLS-SEM) and artificial neural network (ANN) analysis were performed. The obtained results revealed positive and significant effects of trendiness, interaction, and word of mouth on brand awareness. Customisation, trendiness, interaction, and word of mouth were found to positively affect brand image. Brand awareness and brand image were found to affect repurchase intention. The results of multilayer ANN analysis suggested trendiness as the most notable factor in developing brand awareness and brand image. Brand awareness was found to be an influential factor that nurtures repurchase intention. The study's results confirmed the relevance of social media marketing activities in predicting brand equity and brand loyalty by repurchase intention. Marketing professionals need to concentrate on entertainment and customisation aspects of social media marketing that can help to achieve brand awareness and image. The limitations of study and future research opportunities are presented at the end of this article.
Green human resource management, competitive advantages, and green ambidexterity: using partial least squares structural equation modeling and necessary condition analysis

Ahmad J, Al Mamun A, Reza MNH, Makhbul ZKM, Ali KAM

Environ Sci Pollut Res Int, 2023 Aug;30(37):87938-87957.
PMID: 37432578 DOI: 10.1007/s11356-023-28624-4

This study investigates the effect of green human resource management practices on green competitive advantage and the mediating role of competitive advantage between the green human resource management practices and green ambidexterity. This study also examined the effect of green competitive advantage on green ambidexterity and the moderating effect of firm size on green competitive advantage and ambidexterity. The results reveal that green recruitment and green training and involvement are not sufficient, but they are necessary for any outcome level of green competitive advantage. The other three constructs (green performance management and compensation, green intellectual capital, and green transformational leadership) are sufficient and necessary; however, green performance management and compensation is necessary only at an outcome level of more than or equal to 60%. The findings revealed that the mediating effect of green competitive advantage is significant only between three constructs (green performance management and compensation, green intellectual capital, and green transformational leadership) and green ambidexterity. The results also indicate that a green competitive advantage has a significant positive effect on green ambidexterity. Exploring the necessary and sufficient factors using a combination of partial least squares structural equation modeling and necessary condition analysis provides valuable guidance for practitioners to optimize firm outcomes.
Fulltext The relationship between mass customization and sustainable performance: The role of firm size and global E-commerce

Hui G, Al Mamun A, Masukujjaman M, Makhbul ZKM, Ali MH

Heliyon, 2024 Mar 30;10(6):e27726.
PMID: 38509960 DOI: 10.1016/j.heliyon.2024.e27726

The formation of mass customization competencies is crucial for the increasing number of manufacturing companies in modern times. This study assessed the relationship between mass customization capability and its determinants on sustainable performance. Additionally, it explores the mediating role of mass customization capability and sustainable performance, while also examining the moderating effects of firm size and cross-border eCommerce in these associations. The study used online survey data from 339 manufacturing small-to-medium-sized enterprises in China to test the hypothesized relationships. The collected data were analyzed using partial least square structural equation modeling and necessary condition analysis. The results indicated that flexible manufacturing competencies, modular product architecture, and customer relationship management are significantly and positively connected to mass customization capability. Moreover, the study observed that mass customization capability and competitive pressure have a significant positive influence on the sustainable performance of Chinese manufacturing SMEs. The findings also revealed that firm size and cross-border e-commerce engagement have a negative and positive moderating effect, respectively, between mass customization capability on sustainable performance, which confirms a relatively higher effect of customization capability on sustainable performance among smaller firms and firms engaged in cross-border eCommerce. Fundamentally, these findings can lead to the development of a comprehensive framework to promote mass customization capability, cross-border e-commerce, and sustainable development of manufacturing small-to-medium-sized enterprises China.
Fulltext Desire to stay shorter time at the shopping mall: insight from protection motivation (PMT), behavioral inhibition system (BIS), reactance, and expectancy theories

Alam SS, Masukujjaman M, Al-Shaikh ME, Ali MH, Makhbul ZKM, Othman AS

Curr Psychol, 2022 Dec 17.
PMID: 36570056 DOI: 10.1007/s12144-022-04117-4

After withdrawing the movement control order (MCO), new variant (Omicron) of COVID-19 returns as an outbreak again. Therefore, consumers are very much informed by various media to be more cautious in visiting shopping malls and spend less time in there. The purpose of this study was to identify the predictors influencing the desire to stay shorter at the shopping mall. This study was conducted in Malaysia, with the application of three psychological theories and one behavioural theory. This is quantitative research based on an online cross-sectional survey design. Data were collected from 296 respondents, by applying the online snowball sampling method through numerous media platforms i.e., Viber, WhatsApp, Messenger, and other apps in three severely affected cities in Malaysia i.e., Selangor state, Putrajaya, and Kuala Lumpur. SmartPLS was used to analyse the data. Using structural equation modelling, this study result shows risk, protection motivation, and fear have a significant effect on the desire to stay a shorter time at the shopping mall. Social norm moderates the association between fear and the desire to spend a shorter time at the shopping mall. These findings, highlight the need for a more empirical study to design more robust strategies, and a safer and risk-free shopping mall environment.