Looking to co-author studies and build a small working group. Happy to manage APC where appropriate. Let’s discuss project ideas, roles, timelines, and target SSCI journals.
Email: Sahilalisaiyed8@gmail.com
What I contribute Theory framing, instrument design, IRB-ready survey kits, multi-country data collection (TW/IN/VN), PLS-SEM/fsQCA, robustness checks, figures/tables, and manuscript drafting.
Track record 4 Q1 publications plus additional papers across sustainability and HRM.
Comment or DM to set a short call and align scope and targets. — Sahilali Saiyed, PhD (Business), Chaoyang University of Technology.
Green HRM → green innovation → firm performance Technological agility under environmental uncertainty AI in HRM: fairness transparency SDG alignment Barrier prioritization using Fuzzy Delphi/DEMATEL Cross-country SME studies (PLS-SEM fsQCA)
Introduction: As sustainability becomes a major global concern, the sports sector also plays a significant role in environmental degradation. This makes it a crucial area of focus for research aimed at achieving sustainability goals. Objective: This study examines the influence of green human resource management practices—specifically green hiring, green training, performance management, and employee involvement—on the sustainable performance of enterprises in India’s sports service sector. Methodology: A stratified random sampling technique was used to ensure representation across various sports service industries. A total of 500 respondents from the Delhi National Capital Region were surveyed. Descriptive statistics, one-way analysis of variance, and regression analysis were conducted to test the proposed hypotheses. The theoretical framework was based on the ability, motivation, and opportunity model. Results: The results showed that green hiring, green training, and performance management practices had a statistically significant and positive influence on sustainable performance. However, employee involvement did not demonstrate a significant relationship with sustainable outcomes. Discussion: The variation in the use of green human resource management practices among organizations suggests the need for more focused and customized strategies to improve environmental performance.
The contribution of green entrepreneurship (GE) to promote sustainable innovation (SIN) in startup environments in developing countries is investigated in this article. Emphasizing early stage businesses instead of existing companies, it looks at how GE supports innovation in line with Sustainable Development Goals (SDGs), including SDG 8, 9, 12, and 13. Treating GE as the independent component driving SIN with startup ecosystem support (SES) and institutional frameworks as contextual elements, the study uses a theoretical model combining dynamic capabilities theory, resource-based view, and institutional theory. Three hundred Bangladeshi startups’ data were gathered and subjected to partial least squares structural equation modeling (PLS-SEM). Results suggest that GE greatly increases SIN, especially in light of supporting ecosystems and strong institutional support. The results provide theoretical understanding as well as pragmatic ideas for advancing green, creative corporate settings in developing countries. Future studies should confirm these linkages over time and in several settings.
Abstract Amid intensifying environmental concerns, sustainability has emerged as a strategic priority within the global energy industry, compelling organisations to adopt environmentally responsible practices. This study investigates the influence of green behaviour on organisational environmental performance, with a focus on the mediating roles of green training programs and green compensation practices in Vietnam’s energy sector. Using a quantitative research design, data were collected from 826 employees in energy-related enterprises and analysed through Partial Least Squares Structural Equation Modelling. The findings confirm that green behaviour has a significant positive impact on environmental performance. Both green training and green compensation were found to exhibit partial mediation in the relationship between green behaviour and organisational environmental performance. These results contribute to the growing body of knowledge on sustainability-oriented human resource practices and offer practical insights for organisations seeking to improve environmental outcomes through employee-focused interventions.
Despite the strengthened efforts on sustainability and technological activities by firms, the existing literature lacks a clear picture regarding how green orientation (GO) and technological agility (TAG) can be transformed into sustainable competitive advantage (SCA) and at what time the conversion process may be most efficient. This paper conceptualizes organizational agility (OGA) based on the resource-based view (RBV) and dynamic capabilities theory (DCT) and hypothesizes that GO and TAG indirectly affect SCA with the mediating impact of environmental uncertainty (ELU). A moderated-mediation model was tested based on a sample of 200 managers (HR, marketing, accounting/finance, quality control, R&D) of auto-parts manufacturers in industrial clusters in Gujarat, India, and measured with PLS-SEM. The findings indicate that GO and TAG have positive effects on OGA and SCA and that OGA plays a significant mediation role in the association of GO and SCA, as well as TAG and SCA. Nevertheless, the conditional indirect hypothesis effects of ELU were not significant and indicated that the routinized agility could shield the firms against the legitimacy turbulence in the process of transforming the sustainability intent and technological responsiveness into competitive results. The research makes a contribution to theory by explaining how the effects of orientations make sense when beneficial and defining a condition of what might be termed a limit in which the capability effects are enhanced. On the managerial front, it emphasizes the aspects of co-investment of GO and TAG along with the institutionalization of agility routines to achieve sustainability-driven competitiveness in dynamic markets.
Research background: Artificial Intelligence (AI) is becoming a revolutionary ability that can speed up the shift towards sustainable production through re-source efficiency, optimization of processes, and low-carbon innovations. Consistent with the United Nations Sustainable Development Goals (SDGs), SDG 9 (sustainable industrialization), SDG 12 (responsible consumption and production), and SDG 13 (climate action), AI is becoming a driver of green innovation, as well as a facilitator of the same. Purpose of the article: This paper examines how AI applications affect organizational performance (OPE) in the Taiwanese manufacturing industry with a special emphasis on the mediating effect of GIC. Based on the Dynamic Capabilities Theory (DCT), the paper constructs and empirically validates a structural model that elucidates how AI adoption increases sustainable competitiveness through the development of innovation-oriented capabilities. Methods: The research used a cross-sectional, quantitative study design and gathered data on 270 professionals in the Taiwanese manufacturing sectors. The AI applications, GIC, and OPE were measured using a structured questionnaire to measure them using multi-item Likert scales. Hypotheses were tested using the Partial Least Squares Structural Equation Modeling (PLS-SEM). Findings & value added: The study shows that Artificial Intelligence (AI) adoption plays a significant role in enhancing both green innovation capabilities (GIC) and overall organizational performance (OPE). More importantly, GIC emerges as a key mechanism through which AI applications are translated into measurable sustainability outcomes, underscoring its role as a strategic bridge between digital transformation and environmental performance.
IJAR - Indian Journal of Applied Research (IJAR) IJAR is a double reviewed monthly print journal that accepts research works from scholars, academicians, professors, doctorates, lecturers, and corporate in their respective expertise of studies.
This paper contributes to the ways of promoting recycling and refurbished product initiatives within enterprises by means of human capital management based on the knowledge available in Human Capital Theory and the concepts of Green Human Resource Management. The paper discusses the relationship between the recruitment policies emphasizing a green potential of the candidate, training programs focusing on recycling and refurbishing techniques, and employee involvement in the process of implementing green activities. It is a mixed-methods approach in that data were collected by use of structured questionnaires administered to Human Resource managers and employees in companies, on the one hand, and secondary data on academic literature, on the other hand. The analyses of demographic features, measures based on statistical indications of reliability, assessments filtered through specific objectives produced enlightening conclusions on the dynamics underlying organizational effectiveness in recycling and refurbished product projects. In the end, the research showed that human resources are key to effective practices that sustain change within the organization toward an ecologically sensitive orientation. Implications for research, practice, and future lineament in HRM and sustainability are elaborated on, paying attention to possible fields for further study and analysis.
A shift in logistics and distribution systems has been underway to accomplish the sustainability agenda, where the merging of circular economic principles with IoT is the key to the transformation. In this chapter, the IoT-enabled Circular Supply Chains (CSCs) concept discussion goes further as it can enhance overall operations efficacy and transparency and drive towards a carbon-zero goal in the US. It employs the thematic content analysis of literature, industry publications, and practical case studies (e.g., including Walmart, Amazon, and HP) in order to provide an overview of Digital Circular Logistics (DCL) by utilizing a qualitative descriptive approach. In order to provide a systematic method for long-term change, a theoretical framework is established to integrate Internet of Things (IoT) features like blockchain traceability, real-time monitoring, and predictive analytics with CE's 9R tactics. Despite a high level of technological preparedness, the results show that growth is nevertheless hindered by systemic impediments such as limitations of policy frameworks, organizational stagnation, and a lack of cross-sectoral cooperation. This chapter provides academics, practitioners, and policymakers with theoretical understanding as well as practical advice by expanding socio-technical and institutional theories. It markets itself as a road map for wealthy nations to implement intelligent, circular logistics systems speedily.
The Region of Peel, in Ontario, Canada, one of Canada’s most important concentrations of multimodal goods movement hubs and goods-generating industries, conducted a Strategic Goods Movement Network (SGMN) study during 2012 and 2013. The paper describes how the study team, guided by SGMN best practices, created the region’s first SGMN and successfully balanced the importance of facilitating efficient goods mobility with the Region’s goals for smart growth, quality of life and economic vitality. To achieve this balance, using visual treatments the study integrated public and private stakeholder input with truck movement data, geographic information system (GIS) layers and modeling outputs. Despite the disparate cross-section of agencies and individuals involved with reviewing and approving the study recommendations, the technical approach used by the research team conveyed the study’s results and proposals in an efficient, compelling, and balanced manner. The final strategy proposes an SGMN founded on a hierarchy of goods movement routes that optimizes the different types of truck movements serving the Region. The route hierarchy emphasizes directness, continuity, connectivity, and reliability for trucking operations. The SGMN is also designed to support Peel Region’s quality of life-oriented planning and development policies, thereby facilitating continuing efforts to achieve “peaceful coexistence” of both the goods movement industry and the Region’s residents and businesses. While this paper focuses on Peel, much of what was experienced is transferable to other areas facing similar goods movement challenges.
This research examines the complex dynamics of food security in disrupted supply chains, with a focus on resilience frameworks that enhance household food security during crises. Utilizing Autoregressive Distributed Lag (ARDL) analysis, the study reveals substantial findings indicating that household income and agricultural productivity are critical determinants of food security, particularly in the face of supply chain disruptions such as those experienced during the COVID-19 pandemic. The results highlight that localized agricultural practices significantly contribute to food resilience, with adaptive coping strategies, including income diversification, effectively mitigating food insecurity levels. Furthermore, the need for tailored policy interventions that address the unique socioeconomic contexts of various communities is emphasized, underscoring an urgent call for interdisciplinary collaboration to develop comprehensive, long-term food security strategies that enhance resilience against future disruptions. These findings contribute to the ongoing discourse on sustainable food systems, advocating for innovations that integrate empirical data with local knowledge and adaptive practices.
This study examines the strategic application of blockchain technology in the agri-food sector, with a focus on its potential to enhance supply chain management (SCM) and increase brand value through improved transparency, traceability, and enhanced consumer trust. A mixed-methods approach was employed, combining quantitative surveys from 150 stakeholders (farmers, processors, distributors, and retailers) with qualitative interviews from 15 experts in blockchain and SCM. Thematic analysis was used to extract insights from interview data, while survey responses quantified perceived benefits and barriers to blockchain adoption. The results indicate that 78% of respondents identified improved traceability as a key benefit of blockchain, contributing to reduced product recalls and enhanced food safety. Brands utilizing blockchain reported higher customer satisfaction and loyalty, with 67% of consumers willing to pay a premium for blockchain-verified products. Despite these advantages, challenges such as high implementation costs and limited stakeholder understanding remain significant barriers. This research provides a comprehensive understanding of blockchain's transformative role in the agri-food supply chain. It highlights the technology's capacity to foster operational efficiency and brand equity, while offering strategic insights into overcoming adoption barriers. The findings are valuable for industry stakeholders seeking to align with evolving consumer expectations and regulatory demands.
The Region of Peel is Canada's largest multi-modal freight hub. Located just west of Toronto, Peel is home to nationally important freight facilities, notably Pearson International Airport, intermodal rail terminals and several expressways. Peel also has some of the country's largest manufacturing and assembly plants and distribution centres. Given the importance of its goods-generating infrastructure and industry to the regional and national economies, Peel has championed a public-private goods movement Task Force, which aims to coordinate and improve the efficiency and interconnectedness of the region's multi-modal goods movement network. In support of these aims, in early 2012 the Task Force identified 23 go-forward actions. One of the first of these actions was to develop a region-wide strategic goods movement network (SGMN), which in turn will serve as the framework for coordinating and prioritizing other actions. The SGMN is a holistic approach to developing a goods movement network in a systematic way. The final concept plan respects planning policies (e.g., avoiding where possible routes through residential neighbourhoods and reliance upon proposed BRT/LRT corridors) while promoting direct connectivity and accessibility to goods-generating activity centres. The SGMN concept - essentially a map - is supported recommended 'next step' implementation actions to actualize the network. Together with the criteria and performance indicators, these provide both the basis for implementing the network now and the 'rules' for future updates. For the covering abstract of this conference see ITRD record number 201310RT334E.
I am forming a small, focused research working group for co-authored SSCI journal publications. Collaboration areas include: Green HRM and …
I am forming a small, focused research working group for co-authored SSCI journal publications. Collaboration areas include: Green HRM and …