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Article
Publication date: 16 August 2022

Xinfeng Jiang, Ahsan Akbar, Eglantina Hysa and Minhas Akbar

China has emerged as the world's second-largest economy due to rapid industrial expansion and phenomenal economic growth of China in recent decades. Though, this exponential…

258

Abstract

Purpose

China has emerged as the world's second-largest economy due to rapid industrial expansion and phenomenal economic growth of China in recent decades. Though, this exponential economic turnaround has been fueled by widespread energy consumption, making China among the largest pollutant emitters in the world. Chinese enterprises have come under greater scrutiny and the Government has mandated Chinese companies to undertake environmental protection investment. This study aims to explore the relationship between environmental protection investment and enterprise innovation by taking evidence from Chinese listed firms.

Design/methodology/approach

The data of 2,568 Chinese A-share listed firm-year observations were collected from the Shanghai and Shenzhen stock exchanges during 2008–2016. This study employed ordinary least square and panel data fixed effects techniques to ascertain the association between proposed variables.

Findings

The authors' findings conjecture the crowding-out effects of environmental investments on enterprise innovation-related expenditures. Furthermore, additional empirical testing reveals that Research and Development (R&D) undertakings of state-owned and politically connected enterprises are not affected by environmental investments. Likewise, corporate innovation activities are not negatively influenced by environmental investments in polluting industries. The study findings offer fresh insights to regulators, corporate managers and stakeholders. The authors' results are robust to alternate econometric specifications and alternate variable specifications.

Originality/value

This study makes the following contributions toward the extant literature. First, the study investigates if there is a crowding-out effect of spending on environmental protection in the current period and the innovation expenditure in the upcoming period. Empirical results confirm that there exists a trade-off between both types of spending, implying that the spending on environmental protection will negatively influence the spending on innovation. Second, the study deepens the analysis in considering other influences in this relationship. For instance, the authors' separately consider the aforementioned trade-off in state-owned enterprises and non-state-owned enterprises. The study also examines the mediating influence of corporate political connections and industry attributes, whether or not these influence the relationship between the actual spending on environmental protection and the upcoming spending on innovation.

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Article
Publication date: 22 December 2020

Ahsan Akbar, Xinfeng Jiang and Minhas Akbar

The present study aims to investigate the impact of working capital management (WCM) practices on the investment and financing patterns of listed nonfinancial companies in…

1295

Abstract

Purpose

The present study aims to investigate the impact of working capital management (WCM) practices on the investment and financing patterns of listed nonfinancial companies in Pakistan for a span of 10 years.

Design/methodology/approach

The study is based on secondary financial data of 354 listed nonfinancial Pakistani firms during the period of 2005–2014. The two-step generalized method of moment (GMM) regression estimation technique is employed to ensure the robustness of results.

Findings

Empirical testing reveals that: excessive funds tied up in working capital have a negative impact on the investment portfolio of sample firms. Besides, a negative relationship between change in fixed assets and excess net working capital posits that, eventually, firms use idle resources tied up in short-lived assets to boost their investment activities. Furthermore, larger working capital levels were associated with higher leverage ratio which indicates that firms with inefficient WCM policies have to rely heavily on long-term debt to meet their short-term financing requirements. Additional results indicate that firms that take more time to sell inventory and convert receivables to cash, make more use of debt. Results of cash management models illustrate that cash-rich firms have lower leverage levels which signal the strong financial health and internal revenue generation capability of such firms.

Originality/value

There is a dearth of empirical studies that examine the implications of WCM decisions on a firm's capital structure. Besides, these studies are only confined to how a WCM policy influences the long-term investment activities of a firm. The research contributes to the extant literature by empirically revealing a link between the WCM practices and the firm's long-range investment and financing patterns. Hence, financial managers shall account for the impact of their short-term financial management decisions on the capital structure of the firm.

Details

Journal of Economic and Administrative Sciences, vol. 38 no. 1
Type: Research Article
ISSN: 2054-6238

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Article
Publication date: 2 August 2019

Yasir Rashid, Ansar Waseem, Ahmad Ahsan Akbar and Fatima Azam

The purpose of this paper is to deliver a summary of the influential work regarding value co-creation in the context of social media. Although, research on the role of social…

4038

Abstract

Purpose

The purpose of this paper is to deliver a summary of the influential work regarding value co-creation in the context of social media. Although, research on the role of social media in co-creation and new product development is growing field; the extant literature is still in developing stage, which needs systematization and categorization to comprehend its current stage and previous research.

Design/methodology/approach

For this purpose, existing literature on social media and co-creation was studied. Initially, a citation analysis was conducted of influential papers correlated with the topic to identify three streams of research. Later, thematic analysis was carried out to explore specific themes within these categories.

Findings

Through citation analysis three research streams namely customer’s co-creation on new product development, firm specific capabilities for knowledge sharing, absorption and processing and new opportunities were identified. Later, total four categories were identified through thematic analysis which contains different sub-themes such as test of theories, proposed theoretical frameworks, lead users characteristics, customer’s motivation and experience regarding co-creation, online communities of customers and open innovation.

Research limitations/implications

This study also categorizes and systemizes the extant literature exploring role of social media in value co-creation. Such systematic review of the extant literature will help the academicians to understand the previous stream of work and pursue a particular line of enquiry in furthering the understanding of interaction between social media and co-innovation.

Practical implications

This work is particularly useful for practitioners as more firms are moving the business online. These firms are actively using social media and user-generated content to gain insight into customer’s preferences. By increasing the participation of customers and lead users through online communities, firms can also increase customer’s commitment.

Originality/value

The paper adds to the extant literature by identifying research streams and themes in the extant literature on the role of social media in value co-creation. Later, these themes are abductively linked to develop a theoretical framework.

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Article
Publication date: 29 January 2024

Margarida Rodrigues, Rui Silva, Ana Pinto Borges, Mário Franco and Cidália Oliveira

This study aims to address a systematic literature review (SLR) using bibliometrics on the relationship between academic integrity and artificial intelligence (AI), to bridge the…

1127

Abstract

Purpose

This study aims to address a systematic literature review (SLR) using bibliometrics on the relationship between academic integrity and artificial intelligence (AI), to bridge the scattering of literature on this topic, given the challenge and opportunity for the educational and academic community.

Design/methodology/approach

This review highlights the enormous social influence of COVID-19 by mapping the extensive yet distinct and fragmented literature in AI and academic integrity fields. Based on 163 publications from the Web of Science, this paper offers a framework summarising the balance between AI and academic integrity.

Findings

With the rapid advancement of technology, AI tools have exponentially developed that threaten to destroy students' academic integrity in higher education. Despite this significant interest, there is a dearth of academic literature on how AI can help in academic integrity. Therefore, this paper distinguishes two significant thematical patterns: academic integrity and negative predictors of academic integrity.

Practical implications

This study also presents several contributions by showing that tools associated with AI can act as detectors of students who plagiarise. That is, they can be useful in identifying students with fraudulent behaviour. Therefore, it will require a combined effort of public, private academic and educational institutions and the society with affordable policies.

Originality/value

This study proposes a new, innovative framework summarising the balance between AI and academic integrity.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 24 May 2021

Imranul Hoque and Md. Shahinuzzaman

This study investigates the relationship between individual task performance of garment workers and occupational health and safety management systems (OHSMS) in the garment…

759

Abstract

Purpose

This study investigates the relationship between individual task performance of garment workers and occupational health and safety management systems (OHSMS) in the garment industry of Bangladesh.

Design/methodology/approach

Following a quantitative research approach and using a four-stage cluster sampling technique, data collected from 610 workers of twelve garments supplier factories using a structured questionnaire. Mean, standard deviation, correlation and stepwise multiple regressions performed to understand the relationship between task performance and OHSMS.

Findings

The study results demonstrate that occupational health and safety (OHS) policy, benchmarking, worker participation, OHS training, communication, emergency response, preventive and protective action, monitoring and review are the significant predictors of individual task performance of garment workers; and OHS policy contributes most substantially to the variance of task performance in the garment industry of Bangladesh.

Research limitations/implications

This study’s findings contribute to operations management, human resources management and the health and safety management literature by demonstrating a link between operational performance, human resources management and OHSMS.

Practical implications

This study could be beneficial for garment suppliers to understand how effective OHSMS can reduce production costs by increasing worker efficiency.

Originality/value

This is a unique research attempt as it considers the task performance dimension of an individual garment worker from the OHS management perspective.

Details

International Journal of Workplace Health Management, vol. 14 no. 4
Type: Research Article
ISSN: 1753-8351

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Article
Publication date: 28 June 2021

Michele Morais Oliveira Pereira, Minelle E. Silva and Linda C. Hendry

This paper aims to investigate the impact of the COVID-19 pandemic on supply chain (SC) sustainability learning. In particular, it focuses on the learning associated with changes…

2462

Abstract

Purpose

This paper aims to investigate the impact of the COVID-19 pandemic on supply chain (SC) sustainability learning. In particular, it focuses on the learning associated with changes in the sustainability initiatives of emerging economy suppliers.

Design/methodology/approach

Through studying three scenarios (pre-outbreak, buyer-centred peak and supplier-centred peak) over a nine-month period, a multi-case study strategy was used to gain an understanding of the learning of export-oriented Brazilian coffee producers, using both exploitation and exploration capabilities. Content analysis was developed after each data collection phase to investigate how sustainability initiatives had changed.

Findings

Social sustainability was observed to be the main priority by suppliers facing this unprecedented outbreak, in ways that go beyond expected sustainability certification requirements. For instance, there was evidence of outstanding contributions to the local community. Suppliers initially developed their sustainability initiatives during the outbreak without any support from global buyers, certification bodies or government. In spite of this, stronger relationships with buyers ultimately emerged facilitating greater SC sustainability. Consequently, by using both exploitation and exploration learning capabilities, multiple levels of learning were observed (i.e. individual, organisational and SC) as related to planning, new procedures and social awareness.

Practical implications

A greater awareness of supplier learning processes will aid buyers in developing recovery plans that are appropriate for their global SC partners.

Originality/value

This paper provides an understanding of how emerging economy suppliers of global SCs are coping with this unprecedented outbreak in regard to sustainability management. Moving the spotlight from buyers to suppliers, the research demonstrates that supplier learning is central to global SC sustainability.

Details

Supply Chain Management: An International Journal, vol. 26 no. 6
Type: Research Article
ISSN: 1359-8546

Keywords

Available. Open Access. Open Access
Article
Publication date: 6 February 2025

Arne Walter, Kamrul Ahsan and Shams Rahman

Demand planning (DP) is a key element of supply chain management (SCM) and is widely regarded as an important catalyst for improving supply chain performance. Regarding the…

241

Abstract

Purpose

Demand planning (DP) is a key element of supply chain management (SCM) and is widely regarded as an important catalyst for improving supply chain performance. Regarding the availability of technology to process large amounts of data, artificial intelligence (AI) has received increasing attention in the DP literature in recent years, but there are no reviews of studies on the application of AI in supply chain DP. Given the importance and value of this research area, we aimed to review the current body of knowledge on the application of AI in DP to improve SCM performance.

Design/methodology/approach

Using a systematic literature review approach, we identified 141 peer-reviewed articles and conducted content analysis to examine the body of knowledge on AI in DP in the academic literature published from 2012 to 2023.

Findings

We found that AI in DP is still in its early stages of development. The literature is dominated by modelling studies. We identified three knowledge clusters for AI in DP: AI tools and techniques, AI applications for supply chain functions and the impact of AI on digital SCM. The three knowledge domains are conceptualised in a framework to demonstrate how AI can be deployed in DP to improve SCM performance. However, challenges remain. We identify gaps in the literature that make suggestions for further research in this area.

Originality/value

This study makes a theoretical contribution by identifying the key elements in applying AI in DP for SCM. The proposed conceptual framework can be used to help guide further empirical research and can help companies to implement AI in DP.

Details

The International Journal of Logistics Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0957-4093

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Article
Publication date: 8 October 2021

Kamrul Ahsan and Shams Rahman

This study conducts a systematic literature review of e-tail product returns research. E-tail product returns are essentially acquisition of products that have been sold through…

2274

Abstract

Purpose

This study conducts a systematic literature review of e-tail product returns research. E-tail product returns are essentially acquisition of products that have been sold through purely online or brick-and-click channels and then returned by consumer to business.

Design/methodology/approach

Using a systematic literature review protocol, we identified 75 peer-reviewed articles on e-tail product returns, conducted bibliometric analysis and content analysis of the articles and summarised our findings.

Findings

The findings reveal that the subject of e-tail returns is a new research area; academics have started to investigate several aspects of e-tail returns through different research methodologies and theoretical foundations. Further research is required in leading e-commerce countries and on key areas such as omni-channel returns management, customer satisfaction and service, the impact of resources such as people skills, the benefits of technology and IT systems in managing e-tail returns.

Practical implications

The study offers a summative account of current e-tail knowledge areas, which can serve as a reference guide for e-tailers to develop strategies for more efficient and competitive product returns.

Originality/value

This study contributes theoretically by developing clusters of key themes or knowledge areas about e-tail returns. It also provides a conceptual framework for e-tail returns management, which can be used as a springboard for further empirical research.

Details

Industrial Management & Data Systems, vol. 122 no. 1
Type: Research Article
ISSN: 0263-5577

Keywords

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Article
Publication date: 4 February 2025

Md Arif Iqbal and Jin Su

Given the substantial presence of the Bangladeshi apparel industry on the international stage, it is imperative to examine the sector’s technology adoption (TA) behavior. This…

7

Abstract

Purpose

Given the substantial presence of the Bangladeshi apparel industry on the international stage, it is imperative to examine the sector’s technology adoption (TA) behavior. This study aims to understand the TA-related factors perceived by top apparel industry professionals in Bangladesh.

Design/methodology/approach

Based on the technology, organization and environment (TOE) framework, this study used a two-step analytical sampling approach and conducted semi-structured in-depth interviews with eight top-level industry professionals from Bangladeshi apparel firms.

Findings

The findings indicate that the technological factors include perceived benefits, technical compatibility, investment cost, and availability of training and technical support. Firm size, business scope, and financial viability were found as organizational factors, whereas buyer pressure, local and global competition, government policies, and sustainability were found as environmental factors of TA decisions.

Originality/value

This study provides practical and novel insights into the role of top management in TA within the TOE framework. By shedding light on TA in Bangladesh’s apparel industry, this research contributes to the literature.

Details

Research Journal of Textile and Apparel, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1560-6074

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Article
Publication date: 28 November 2024

Biswajit Ghose, Nivaj Gogoi, Premendra Kumar Singh and Kiran Gope

This study aims to investigate the impact of corporate climate change disclosure (CCD) on the financial performance of Indian firms.

240

Abstract

Purpose

This study aims to investigate the impact of corporate climate change disclosure (CCD) on the financial performance of Indian firms.

Design/methodology/approach

The study is grounded in the principles of signalling theory, legitimacy theory and the cost-benefit analysis approach. The sample for the study includes 77 Indian firms from 2018–2019 to 2021–2022. Required data are collected from published annual reports, sustainability reports and the Ace Equity Database. The explanatory variable CCD is measured using content analysis based on the Task Force on Climate-related Financial Disclosures (TCFD) framework. The panel fixed-effects or random-effects models have been considered for hypotheses testing.

Findings

The disclosure level of CCD and its different components is found to be moderate with an average score of 0.364 among top Indian firms. Regression results reveal a significant positive association between CCD on firms’ market-based performance, suggesting its long-term benefits. Besides, additional analysis indicates the differential impact of CCD on financial performance based on firms’ CEO duality status, industry affiliation and pre-COVID and post-COVID period, thus establishing their moderating role in the observed relationship.

Practical implications

The study highlights the necessity of enhancing climate-related disclosure by Indian firms and strategically leveraging the same to boost their financial performance.

Originality/value

Few studies have examined the implications of CCD (based on the TCFD framework) on firm performance. Moreover, exploring the moderating role of CEO duality, industry type and COVID-19 in the CCD and firm performance relationship is a novel empirical contribution.

Details

Sustainability Accounting, Management and Policy Journal, vol. 16 no. 2
Type: Research Article
ISSN: 2040-8021

Keywords

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