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Individuals develop and perform and process their identities in relationships with others as well as with the environment in which they find themselves, Many of these relationships with others are characterized by fundamental inequalities. In finding their identities, the subordinate in the relationship develops an identity that typically take steps – by vocal and non-vocal gestures – to perform this particularized identity. The identification of self is not only related to the others, with eachindividual in reflective communication, but also reflections characterized by inequality. In continuing to do so, he or she will experience a certain powerlessness, indeed what Marx called alienation.

The American agricultural economist Marion Clawson advised the Israeli government during 1953–1955. Clawson, a protégé of John D. Black and Mordecai Ezekiel, criticized the government for ignoring economic considerations, and stated that Israel’s national goals – defense, Negev Desert irrigation, immigrant absorption via new agricultural settlements, and economic independence – were mutually contradictory. His major recommendations were to improve the realism of Israel’s agricultural plan; end expensive Negev irrigation; enlarge irrigated farms eightfold; freeze new settlements until the number of semi-developed settlements falls from 300 to 100; and limit new Negev settlements to 10 over 5–7 years. Thus, Clawson ignored political feasibility and made value judgments. Minister of Finance Levi Eshkol and Minister of Agriculture Peretz Naphtali rejected Clawson’s recommendations because they ignored Israel’s national goals. By September 1954, Clawson shifted towards greater pragmatism: He acknowledged that foreign advisors should not question the national goals or make value judgments, and sought common ground with the Ministry of Agriculture. At his initiative, he wrote Israel Agriculture 1953/54 in collaboration with the Ministry of Agriculture. Israel Agriculture was a consensus document: Clawson eschewed recommendations and accepted that the government might prioritize non-economic goals. In proposing Israel Agriculture, Clawson made a pragmatic decision to relinquish some independence for (potentially) greater influence. Ultimately, Clawson was largely unsuccessful as an advisor. Clawson’s failure was part of a general pattern: Over 1950–1985, the Israeli government always rejected foreign advisors’ recommendations unless it was facing a severe crisis.

This study aims to explore the perceptions of investors regarding the risks associated with funding renewable energy projects in India, as well as the various factors that influence these perceptions. The investigation is limited to debt providers and seeks to pinpoint the primary risks that bankers perceive and the drivers that shape these perceptions.

This study draws on interviews and surveys of Indian bank executives, investigating how finance providers perceive risks in the Indian context and the factors driving such perceptions. Qualitative interviews have been used for operationalizing “risk perception” within the renewable energy domain, followed by a quantitative survey and exploratory factor analysis.

The authors find that experience and capacity are the most important factors that account for 30% of the overall variance. The second factor, which accounts for 15% of the variance, includes the perceived risks in funding renewable energy projects as compared to infrastructure projects. Among individual risks, the authors find that bankers perceive technological risk to be the lowest (5%) and contractual and regulatory risks as the highest (66%) in renewable energy projects.

The study contextualizes risk perception toward renewable energy investments in the Indian context by drawing from the risk perception literature and qualitative interviews with senior bankers. It presents empirical evidence on the decision-making behavior of bankers, who are important stakeholders of the renewable energy ecosystem. The main limitation of the study is the relatively small sample, and generalizing the results to the broader population might require a larger sample. This will facilitate the use of confirmatory factor analysis and structural equation modeling, which can facilitate a more comprehensive understanding of risk perceptions in renewables financing.

Insights gained can be used to provide policy recommendations for improving the financing ecosystem of renewable energy projects. The research significantly contributes to the extant literature within the renewable energy financing domain for emerging economies.

Smart furniture is an essential part of research that has been designed to best complement easy and safe human interaction. The purpose of smart furniture is to save the space of the house and make the products unique, awesome and safe, functional, strong and also make it works better so the people can live better with it. This research aims to explore the key supply chain strategies implemented by the Indian smart furniture industry to reduce the impact of a post-COVID-19 pandemic.

This work utilized a case study and conducted semi-structured interviews with the top leadership of the smart furniture manufacturing industry to explore key supply chain strategies to reduce the influence of the post-COVID-19 pandemic. Additionally, key supply chain strategies have been analyzed using a multi-criteria decision-making technique known as grey relational analysis (GRA) to determine their ranking significance in the smart furniture industry.

The results of this study discovered that “Inventory-Categorization” is essential in ensuring business continuity during the COVID-19 pandemic and helps reduce the amount of stock they have on hand. It enhanced the opportunity for employees to properly focus on their work and an opportunity for better work-life balance. The results of the study can also help supply chain stakeholders in their establishment of critical strategies.

The implications of this research work help the Indian furniture industry to make supply chain investment decisions that benefit the organization to sustain itself.

This is the first study to explore key supply chain strategies for the post-COVID-19 era. This work will assist managers and practitioners in helping the organization decide which supply chain strategies are more critical to the betterment of the organization.

This study aims to examine how integrated thinking principles can be used to assist those charged with governance during and after a crisis.

An autoethnographic approach was used to collect and reflect on information related to the economic, social and environmental impact of COVID-19. This was complemented with a bibliometric analysis of academic articles including “corporate governance”, “integrated thinking” and “crisis” as a keyword. This information was used to produce a data mind map of core themes. This was supplemented with a qualitative exploratory approach based on semi-structured interviews with 16 participants comprising preparers of financial statements, board members and corporate governance specialists to obtain insights into using integrated thinking in corporate governance during a crisis.

The results of the study indicate that those charged with governance can use integrated thinking to repurpose their business model by considering a multi-capital and multi-stakeholder perspective to value creation. The study highlights the importance of implementing a holistic capital integration process to gauge risks, capitalise on opportunities and improve business processes in response to a crisis. This can be leveraged by both the private and public sectors to manage a crisis and deal with the long-term indirect impacts of a crisis.

An integrated thinking approach can be used by both the private and public sectors to bolster confidence, tackle pressing social and environmental challenges and contribute to improved performance relative to the sector.

The expert interviews contribute empirical evidence to the profile of mainstream social and environmental accounting literature and offer a practical contribution by offering insights that can directly be used by organisations’ investors, non-governmental organisations and other stakeholders to manage a crisis. This paper also advances the sustainability agenda by assessing how a crisis can be managed in the context of a developing economy and advancing normative recommendations which will be broadly applicable to an international audience.

This study aims to clarify influencing factors of overcapacity of new energy enterprises in China and accurately predict whether these enterprises have overcapacity.

Based on relevant data including the experience and evidence from the capital market in China, the research establishes a generic univariate selection-comparative machine learning model to study relevant factors that affect overcapacity of new energy enterprises from five dimensions. These include the governmental intervention, market demand, corporate finance, corporate governance and corporate decision. Moreover, the bridging approach is used to strengthen findings from quantitative studies via the results from qualitative studies.

The authors' results show that the overcapacity of new energy enterprises in China is brought out by the combined effect of governmental intervention corporate governance and corporate decision. Governmental interventions increase the overcapacity risk of new energy enterprises mainly by distorting investment behaviors of enterprises. Corporate decision and corporate governance factors affect the overcapacity mainly by regulating the degree of overconfidence of the management team and the agency cost. Among the eight comparable integrated models, generic univariate selection-bagging exhibits the optimal comprehensive generalization performance and its area under the receiver operating characteristic curve Area under curve (AUC) accuracy precision and recall are 0.719, 0.960, 0.975 and 0.983, respectively.

The proposed integrated model analyzes causes and predicts presence of overcapacity of new energy enterprises to help governments to formulate appropriate strategies to deal with overcapacity and new energy enterprises to optimize resource allocation. Ten main features which affect the overcapacity of new energy enterprises in China are identified through generic univariate selection model. Through the bridging approach, the impact of the main features on the overcapacity of new energy enterprises and the mechanism of the influence are analyzed.

Prior studies have confirmed market segmentation as an important shackle to China's macroeconomy upgrade, but the systematic analysis of microenterprise upgrade remains inadequate. This paper aims to investigate the nonlinear impact of market segmentation on microenterprise upgrade.

The price method was applied to calculate China's provincial market segmentation, including commodity, capital, labor and energy. The generalized method of moments was employed to examine the nonlinear impact of market segmentation on the upgrading of manufacturing enterprises based on microenterprise data from 2003 to 2019.

First, China’s heterogeneous market segmentations have been significantly reduced. Macroeconomics and policies are critical factors in market integration. Second, there is an inverted U-shaped relationship between China’s total market segmentation and the upgrading of manufacturing enterprises. Third, the relationship between the commodity market segmentation, labor market segmentation, energy market segmentation and manufacturing enterprises' upgrade is shown as an inverted U-shaped. Nevertheless, the relationship between the capital market segmentation and upgrading of manufacturing enterprises exhibits a U-shape.

The impact of market segmentation on the upgrading of manufacturing enterprises in China performs nonlinearly. An inverted U-shaped relationship exists between market segmentation in commodity, labor and energy and the upgrading of manufacturing enterprises, while a U-shaped relationship prevails between capital market segmentation and the upgrading of manufacturing enterprises.