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The effect of green recruitment and selection, green training, and green intellectual capital on employee performance in Indonesia
, On line first: April, 2024 Asep Rokhyadi Permana Saputra, Marthin Apriyan and Subarjo PDF (288 K) |
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Abstract:
The purpose of this research is to investigate the influence of green recruitment and selection, green training, and green intellectual capital on employee performance in Yogyakarta, Indonesia. The data collection method used in this research is to look for observation, interviews, and the distribution of questionnaires. Structural Equation Modeling is used to be an analysis method with SmartPLS assistance. Within the SEM model, this research predominantly employs the Partial Least Squares (PLS) technique, a component-based or variance-based structural equation modeling approach. PLS enables the testing of theories or theory development for predictive purposes based on experimental results. Based on the results of this study, green recruitment and selection have a significant and positive impact on employee performance. However, green training does not have any statistically significant positive effect on employee performance in the same region. On the other hand, green intellectual capital shows a significant and positive influence on employee performance. These results contribute to understanding the relationship between green human resource practices and employee performance.
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The impact of sustainable supply chain management practices on environmental performance of Vietnamese agricultural enterprises
, On line first: April, 2024 Thi Hien Pham, Tuan Anh Luong, Thi Hai An Pham and Nguyen Khanh Uyen Huynh PDF (288 K) |
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Abstract:
The objective of the paper is to assess the impact of sustainable supply chain management practices on environmental performance of Vietnamese agricultural enterprises. The study conducted a survey of management leaders of Vietnamese agricultural enterprises. After 3 months, 328 surveys were obtained, after cleaning the data, there were 283 valid surveys for analysis. The results show that sustainable supply chain management practice has a positive impact on environmental performance and environmental regulations are not enough grounds to affirm a moderating role in the relationship between sustainable supply chain management practice and environmental performance of Vietnamese agricultural enterprises. From there, the study makes recommendations for Vietnamese agricultural enterprises.
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Data-driven methodology for identifying the best influencers for a brand: A case study on Anemonia
, On line first: April, 2024 Emanuele Fiocco PDF (288 K) |
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This study aims to develop a new data-driven methodology for identifying suitable influencers for a brand using data from social media. The increasing presence of such figures in these communication channels makes it challenging to select consistent and influential influencers for a specific audience. This paper introduces an innovative approach to defining these figures based on the analysis of relationships within the brand's network. Specifically, this methodology will be applied to the case study of a brand named “Anemonia”. The approach relies on the sequential application of various steps, including the use of tools such as Social Network Analysis (SNA) centrality, Sentiment Analysis (SA), and Analytical Hierarchical Process (AHP). Through the application of this methodology, the brand has been able to identify influencers consistent with its aesthetics and vision.
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HEIs service quality as a predictor of students’ satisfaction affecting academic performance: The extension of the Embryonic HESQUAL model
, On line first: March, 2024 Kamrunnahar Happy, Nafiza Islam and Rabbir Rashedin Trino PDF (288 K) |
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Abstract:
To question the dominanceof the dimensions of service quality using the embryonic HESQUAL model onstudents' satisfaction. Besides, the study will identify the mediating effect ofa department’s commitment and a moderating effect of self-efficacy on therelationship between students’ satisfaction and academic performance. The study was a one-time dimensionaland used a simple random sampling method which is suitable for quantitativestatistical analysis and homogeneous populations in nature. Analysis resultingfrom SmartPLS by using 431 responses from undergraduate and graduate students of public universities inBangladesh. The study found that students arefocused on core educational qualities and physical environmental facilities tobe satisfied. Thoroughly,students' satisfaction has a direct impact on academic performance butsurprisingly no moderating precedence of self-efficacy on the connectionbetween student satisfaction and academic performance was seen. Noticeably, theextension of the HESQUAL model of department commitment finds significant influenceson both satisfaction and academic performance. However, the modified HESQUEL will quantify thequality dimensions in higher education, and its application in this study candepict a greater understanding of the quality dimensions required to beprioritized by university authorities and policymakers.
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Influential factors of cybersecurity investment: A quantitative SEM analysis
, On line first: March, 2024 Phasikha Rattanapong and Smitti Darakorn Na Ayuthaya PDF (288 K) |
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In the dynamic landscape of digital enterprises, cybersecurity has emerged as a critical determinant of organizational effectiveness. This study delves into the intricate realm of cybersecurity investment within ASEAN organizations, exploring the key facets that drive decision-making in this domain. Using a quantitative approach through structural equation modeling (SEM), we conducted an in-depth analysis based on a sample of 419 enterprises meeting cybersecurity criteria. Our findings reveal that cybersecurity strategy, financial considerations, and institutional and regulatory conditions are the primary factors influencing cybersecurity investments in the ASEAN region. In particular, financial resources emerged as the most critical determinant, underscoring the importance of adequate funding to address evolving cyber threats. Furthermore, our study highlights the crucial role of institutional and regulatory frameworks in shaping investment behavior, indicating a heightened awareness among firms regarding compliance with legal requirements. By unpacking these dynamics, our research provides deep insights into the intricate interplay of factors shaping cybersecurity investments in ASEAN organizations. This study contributes to the discourse by emphasizing the imperative nature of understanding the impact of risk aversion, organizational structures, and long-term practices on cybersecurity resilience. The implications of our findings extend to policy making, innovation, and future research directions in the cybersecurity domain, offering valuable insights to improve cybersecurity preparedness and resilience against evolving cyber threats.
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MCDM Review in marketing and managerial decisions: Practical implications and Future research
, On line first: March, 2024 Theodore Tarnanidis, Jason Papathanasiou, Bertrand Mareschal and Maro Vlachopoulou PDF (288 K) |
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Abstract:
This research presents a short review of Multiple Criteria Decision-Making (MCDM) methods and research in various fields, including marketing and business management. The academic literature shows that MCDM methods in the area of marketing are used by academics to solve problems related to the positioning of products and services, market segmentation, brand management, promotion and advertising strategies, product development and market entry strategies, customer relationship marketing and channel distribution. With regard to business and management domains they are used to prioritize various decision-making aspects, like project assessments, resource allocation, strategic planning, risk management, performance evaluation, supplier and vendor selection, human resource management and strategic investment decisions. We can claim that in both domains, MCDM brings a systematic and transparent approach to decision-making, helping marketing managers to make more informed and objective choices. In summary, the continual refinement of these methods and the integration of cutting-edge technologies hold promise for further enhancing the effectiveness and efficiency of decision-making processes in the dynamic landscape of business and management. Further, the analysis highlights emerging trends and challenges for the future of MCDM research.
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