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This study aims to examine the influence of regulatory framework (RF), market dynamism (MDY), competitive intensity (CIN) and environmental public concern (EPC) on responsible innovation (RI) in the manufacturing SMEs of a developing country. Furthermore, the study examines the influence of RI on sustainable competitive advantage (SCA). Moreover, big data adoption (BDA) is used as a moderator between RI and SCA.

The study’s hypotheses are evaluated using the structural equation modeling methodology. The study collected data from a sample of 487 owners/managers of manufacturing SMEs using simple random sampling technique.

The results explain that RF, MDY, CIN and EPC significantly determine RI. Moreover, RI significantly determines SCA. Besides, BDA significantly moderates between RI and SCA.

For manufacturing SMEs to obtain SCA, RI is essential, and BDA is crucial to meet changing consumer demands for environmentally friendly products. With more environment-friendly initiatives, the natural environment will become more sustainable. Moreover, this research offers a comprehensive perspective to the public regarding the extent to which manufacturing enterprises are adopting RI and BDA.

The majority of earlier research on RI and BDA has been carried out in the context of large businesses. Institutional theory was used to look into the drivers of RI. Furthermore, BDA is used as moderating variable between RI and SCA.

This study aims to examine the influence of organizational flexibility (OF) and shared vision (SV) on sustainable competitive advantage (SCA) with the mediation role of responsible innovation (RI) in the manufacturing industry of a developing country. Furthermore, big data analytics capability (BDAC) serves as a moderator between RI and SCA.

The study's hypotheses are investigated using the structural equation modeling (SEM) method. Through simple random sampling, information was gathered from 247 owners/managers of manufacturing SMEs.

The results elucidate that OF and SV significantly determine RI and SCA. Moreover, RI significantly mediates between SV, OF and SCA. Besides, RI significantly determines SCA. BDAC significantly leads to SCA. Finally, BDAC significantly moderates between RI and SCA.

RI is crucial for manufacturing small and medium-sized enterprises (SMEs) to gain SCA and BDAC is important to address the changing demands of consumers for environment-friendly products. This study gives the public an overview of the different degrees to which SMEs are embracing RI and BDAC; with more environment-friendly initiatives, the natural environment will become more sustainable. Environmental sustainability will benefit each individual living in society.

This study adds value to the existing literature by focusing on predictors that affect SCA. Using dynamic capability theory, this initial study examines the influence of SV and OF on SCA and RI as mediators. Furthermore, BDAC is used as a moderating variable between RI and SCA. Managers, students and researchers can benefit from this study.

Sustainability issues are crucial in today’s competitive environment. The integration of technology plays a vital role in the attainment of sustainability objectives. The study aims to investigate the relationship between green intellectual capital (IC), green information systems (IS), green management initiatives (GMI) and green technology adoption in light of natural resource-orchestration theory (ROT). Moreover, digital technology adoption mediates between green IC, green IS, GMI and sustainable performance. Finally, digital transformation strategy is used as a moderator between green technology adoption and sustainable performance.

A sample of 484 managers from automobile manufacturing companies was used in this study to evaluate the proposed relationships using the Structural Equation Modeling (SEM) methodology.

Findings reveal that green IC, green IS and GMI significantly influence green technology adoption. Besides, green technology adoption plays a crucial role in improving sustainable performance. Moreover, green technology adoption significantly mediates between green IC, green IS, GMI and sustainable performance. Finally, a digital transformation strategy significantly strengthens the relationship between green technology adoption and sustainable performance.

The organizations need green technology adoption to address environmental concerns, respond to consumer demand, achieve cost savings and comply with government regulations. Besides, in decision-making, organizations must focus on green IC, green IS, GMI, green technology adoption and digital transformation strategy to boost sustainable performance.

The originality of this study lies in its use of the natural ROT as a framework to examine the impact of multiple green resources on green technology adoption, leading to sustainable performance. Digital transformation strategy is used as a moderator between green technology adoption and sustainable performance. This study provides a comprehensive and integrated perspective on the subject with empirical evidence and relevant insights, contributing to the advancement of the field.

This study aims to investigate the impact of green shared vision (GSV) and green knowledge sharing (GKS) on eco-innovation types and further investigates the impact of these types on sustainable competitive advantage (SCA) and sustainable business performance (SBP) within the food manufacturing and food processing small- and medium-sized enterprises (SMEs) of a developing country.

Partial least square structural equation modeling technique was used to test the hypotheses. Simple random sampling was used, and data were collected from 312 owners/managers of food manufacturing and processing SMEs.

The results reveal a significant positive relationship between GSV, GKS and eco-innovation types. Furthermore, it was revealed that all three types of eco-innovation are significantly related to SCA and SBP.

The results of this research will assist food manufacturing and food processing SMEs in reducing their eco-footprint to gain SCA and SBP. Furthermore, policymakers and governing bodies may implement strong regulations to curtail eco-pollution.

To the best of the authors' knowledge, this is the first study that incorporates the concept of eco-innovation in food processing and food manufacturing SMEs of a developing country in the light of the natural resource orchestration theory.

This paper analyzes and compares segments disclosure practices of listed companies of Pakistan and Bangladesh under International Financial Reporting Standard (IFRS) 8 with companies from India under Accounting Standard 17 over three-year period from 2013 to 2015. Furthermore, the purpose of this paper was to investigate that how the selection of chief operating decision-maker (CODM) by management, industry type, governance and firm characteristics affects segments disclosure practices in South East Asia. Finally, how the relationship among segment disclosure, firm characteristics and corporate governance is moderated through the big 4 audit firm.

To achieve these objectives, data were collected from annual reports of the top 100 companies of each country and selected based on market capitalization for three years period 2013–2015.

Results state that majority of companies in South East Asia are using business class for defining operating/primary segments. Regarding reporting of operating/primary segments and geographic/secondary segments along with geographic fineness score, Indian companies are continuously on the lower side as compared to companies from Pakistan and Bangladesh. Furthermore, it was found that industry type and selection of CODM have a highly significant effect on segments disclosure practices. Finally, results of regression analysis found that the application of IFRS 8 in Pakistan and Bangladesh has a significant positive effect on disclosure of operating/primary as well as geographic/secondary segments as compared to India. Further, the role of corporate governance mechanism in influencing segments disclosure was found as least in South East Asia. Further appointment of big 4 audit firm as external auditor has only significant positive effect on disclosure of segments items. Finally, based on additional analysis, it was found that big 4 auditor moderates the relationship only in the case of reporting of operating/primary segments.

Based on these results, the performance of Indian companies regarding disclosure of operating/primary segments, geographic/secondary segments along geographic fineness score is quite low despite the fastest growing economy in the world. This raises concerns about the quality of segment reporting in India, the world’s fastest expanding economy.

These results imply that there is a need of an effective role by the external auditor to improve the quality of segment reporting in developing countries, which is principle based.

Drawing upon the intellectual capital-based view theory, this study explored the relationship between green intellectual capital (IC) and environmental performance (EP) with the intervening effect of green human resource management (GHRM).

Cross-sectional data were collected from 187 human resource directors/managers working in manufacturing firms of Pakistan. A partial least squares approach was applied to test the hypothesized relationships.

The results showed a mediating effect of GHRM on the relationship between green human capital and the organizational EP. Also two dimensions of green IC (green human capital, green relational capital) were also found positively related to the EP of the firm.

Policymakers should devote their attention to the preservation and enhancement of their employees' knowledge as green human capital is possessed by the employees. Furthermore, managers must exchange information with key stakeholders to better understand and resolve their environmental concerns. Organizational leaders must also ensure the implementation of GHRM policies that, in turn, improve the EP with the aid of green IC.

The current research contributes to the literature by defining green IC as an antecedent and GHRM as an intervening variable for EP. In addition, this study underlines the significance of GHC as a valuable intangible asset for the achievement of environmental sustainability. It also illustrates the importance of GRC, which creates an exchange partnership with the stakeholders to promote corporate environmentalism.

The purpose of this paper is investigate the dynamic linkages among industrial energy use, industrial value added, financial development (FD) and trade openness, in case of India. The study covers the annual frequency data on both aggregate and disaggregate variables for the period 1971–2016.

The autoregressive distributed lag bounds testing approach is applied to examine the long-run relation among variables under consideration. Also, Johansen and Juselius (1990) and vector error-correction mechanism results confirm the result of cointegration. Furthermore, non-linear relationship in the model is also tested.

It has been found that there exists long-run relationship among variables. Long-run estimates show that increasing FD leads to more energy uses. Hence, FD should be directed in such a way that it incentivises firms to invest in energy-efficient technology. Furthermore, it is also found that study supports the evidence of conservative hypothesis, which supports that the energy conservation policy should be adopted in the industrial sector. Energy efficiency programme needs to be designed very carefully to achieve a higher level of energy efficiency. This leads to a sustainable growth and low carbon emission.

This paper examines the recent trend in Indian industrial energy consumption and does a comprehensive analysis using a robust econometric method. We have developed a lucid model to examine the deriving factors of industrial energy consumption.

This research aims to investigate the influence of consumers' anticipated trust in service providers on brand switching intention and its underlying psychological mechanism. More importantly, this study explores the moderating role of type of service providers (human staff/humanoid robots/nonhumanoid robots).

This study adopted two single-factor between-subjects experimental designs and tested the hypotheses in two typical service failure scenarios: Study 1, a hotel scenario (N = 403); and Study 2, a restaurant scenario (N = 323).

The results suggest that there is an inverted U-shaped relationship between consumers' anticipated trust and tolerance of service failure and that such tolerance has a mediating effect on the relationship between anticipated trust and brand switching intention. Moreover, when service failure is caused by a humanoid service robot, a moderate anticipated trust level of consumers is most conducive to increasing tolerance, which in turn reduces their propensity to switch brands.

This study examines the nature of the relationship between anticipated trust and tolerance in a service failure context, revealing an inverted U-shaped relationship. More importantly, the boundary conditions under which different service provides have an influence on this relationship are incorporated. Finally, this study explores the influence of service failure tolerance on brand switching intentions in a technological context, enriching consumer–brand relationship research.

This study aims to examine the interconnectedness between investors' perceptions of assets and their behavioral factors with investment decisions during the COVID-19 pandemic in the real estate business in Pakistan. In this regard, this study predicted investment decisions using individuals’ perceptions of the asset (perceived asset quality, perceived asset price and perceived asset value [PAV]),and behavioral biases (overconfidence [OC], herding [HD], disposition effect [DE] and risk aversion [RA]).

This study used a survey-based instrument to gather a total of 189 usable samples. The sample data were analyzed using partial least square structural equation modeling.

The findings of this study indicated that PAV, OC and HD significantly predicted the investment decision, whereas DE and RA had an insignificant impact on investment decisions in the real estate business. In addition, this study found that PAV is the most important factor to predict investment decisions in real estate during the COVID-19 crisis.

The authors are certain that the study findings reinforce policy implications for regulators, policymakers and financial institutions. The study findings are also useful and relevant if the real estate sector experiences a crisis in the future.

The purpose of this study is to analyze the export competitiveness of Pakistan with border-sharing countries, i.e. Afghanistan, China, India and Iran for the year 2014.

The study uses revealed symmetric comparative advantage (RSCA) index to measure export competitiveness with border-sharing countries. The study has split the results into highest and marginal comparative advantage and disadvantage according to the rank.

Pakistan is exporting 160, 155, 133 and 60 commodities at three-digit level of Standard International Trade Code (Rev 3) classification to Afghanistan, China, India and Iran, respectively. The results suggest that Pakistan has highest and marginal comparative disadvantage in more than half of these commodities exported to border-sharing countries. Pakistan can improve its market share for rice in Afghanistan, China and Iran. Special measures and productive efforts are required to improve the export competitiveness of cotton, textile yarn and cotton fabric in border-sharing countries.

Pakistan has to adopt special strategies to improve the competitiveness of those commodities that fall in marginal comparative advantage and disadvantage. To increase the volume of cross-border trading, political and diplomatic channels are required among the countries especially the border-sharing countries.

Export competitiveness of Pakistan is analyzed for all the commodities exported to border-sharing countries and categorized into highest and marginal comparative advantage and disadvantage. To avoid the problem of asymmetry in Balassa index revealed comparative advantage, RSCA index is used.