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The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.

This study aims to explore the risk spillover effects among different sectors of the Chinese stock market after the outbreak of COVID-19 from both Internet sentiment and price fluctuations.

The authors develop four indicators used for risk contagion analysis, including Internet investors and news sentiments constructed by the FinBERT model, together with realized and jump volatilities yielded by high-frequency data. The authors also apply the time-varying parameter vector autoregressive (TVP-VAR) model-based and the tail-based connectedness framework to investigate the interdependence of tail risk during catastrophic events.

The empirical analysis provides meaningful results related to the COVID-19 pandemic, stock market conditions and tail behavior. The results show that after the outbreak of COVID-19, the connectivity between risk spillovers in China's stock market has grown, indicating the increased instability of the connected system and enhanced connectivity in the tail. The changes in network structure during COVID-19 pandemic are not only reflected by the increased spillover connectivity but also by the closer relationships between some industries. The authors also found that major public events could significantly impact total connectedness. In addition, spillovers and network structures vary with market conditions and tend to exhibit a highly connected network structure during extreme market status.

The results confirm the connectivity between sentiments and volatilities spillovers in China's stock market, especially in the tails. The conclusion further expands the practical application and theoretical framework of behavioral finance and also lays a theoretical basis for investors to focus on the practical application of volatility prediction and risk management across stock sectors.

This paper seeks to examine the career patterns and labour mobility of managers in the convention and exhibition industry in Australia, an example of a new emerging industry within the service sector.

Through the use of the technique of life and work history analysis, career information was gathered from a sample of individuals employed within the various sectors of this industry in Australia. The information was then analysed using a range of descriptive and evaluative statistical tests.

Results indicated the emergence of a new career pattern – “butterfly” progress. This could be identified as an extension and development of the boundaryless career model, where the individual is clearly in charge of his/her career but where he/she “flutters” between sectors in order to build up human capital and progress his/her career.

Though the research was undertaken in a specific industry sector the results indicate that the concept of “butterfly” progress may be part of the developments in contemporary career patterns or a gender issue. Further research in other industries dominated by women is suggested.

Outcomes from this study have implications for management development in relation to a different pattern of job progression and subsequent staff development opportunities. This may require the development of alternative strategies for the successful recruitment and retention of managers within the convention and exhibition organisation.

This is the first time such a research study has been undertaken in the convention and exhibition industry. The paper provides practical outcomes for potential entrants and managers in this sector.

Looks at the 2000 Employment Research Unit Annual Conference held at the University of Cardiff in Wales on 6/7 September 2000. Spotlights the 76 or so presentations within and shows that these are in many, differing, areas across management research from: retail finance; precarious jobs and decisions; methodological lessons from feminism; call centre experience and disability discrimination. These and all points east and west are covered and laid out in a simple, abstract style, including, where applicable, references, endnotes and bibliography in an easy‐to‐follow manner. Summarizes each paper and also gives conclusions where needed, in a comfortable modern format.

The dynamics of economic growth in India continues to engage economists and still remains much debated. The trends and patterns of growth observed in India have seen acceleration in growth in Indian economy in the period following macroeconomic reforms and policy changes in investment and trade regimes. However, when and how did India transform itself from Hindu rate of growth to the present growth regime continues to be debated.

Using INDIA KLEMS data set, this study provides a distinctive perspective on India’s economic growth. A unique data set comprising 27 sectors of Indian economy at a disaggregate industry level for a period of 30 years, beginning 1980s, attempts to understand the dynamics of India’s growth from the contribution of industries that comprise the Indian economy.

This productivity data set offers a new way of analyzing the dynamics of growth including the sources of growth. The growth empirics allow evaluation of the relative significance of total factor productivity growth vis-a-vis input accumulation in accounting for output growth. In addition, the authors were able to document the industry contributions to aggregate growth. In this way, they were able to analyze the importance of the constituent industries within the different sectors of the economy − agriculture, manufacturing, construction and market, as well as non-market services in accounting for the observed growth in India. In conclusion, the industry perspective offers a new and analytical way of discerning new aspects of India’s march to higher growth regimes in post-1990s era.

A unique data set comprising 27 sectors of Indian economy at a disaggregate industry level for a period of 30 years, beginning 1980s, attempts to understand the dynamics of India’s growth from the contribution of industries that comprise the Indian economy.

This paper aims to examine whether corporate social responsibility influences the cost of equity capital of firms operating in controversial industry sectors.

This paper computes the ex-ante cost of equity capital implied in analyst earnings forecasts and stock prices for a sample of 2,006 US firm-year observations belonging to controversial industry sectors (alcohol, tobacco, gambling, military, firearms, nuclear power, oil and gas, cement and biotechnology) during the period 1991-2012. The baseline regression model links CSR score to the implied cost of equity capital (ICC) and controls for firm-specific characteristics, industry factors and economic or market-wide factors. This model enables to capture the differential effect of CSR on ICC when the firm belongs to a specific sector of the controversial industries by adding an interaction term between CSR and the dummy variable representing this belonging.

The findings show two main results. First, CSR engagement significantly reduces the implied cost of equity capital (ICC) in all controversial industry sectors, taken as a group, as well as in each one of these sectors individually. Second, this effect is more pronounced when the firm belongs to the alcohol and tobacco industry sectors.

The findings have two important practical implications. First, they should increase managers’ confidence and incentives, in controversial industry sectors, to pursue CSR activities. Second, policymakers can encourage managers to undertake CSR initiatives in controversial industry sectors through tax incentives (e.g. reduce taxes for CSR related investment projects).

This paper extends prior studies that investigate the perceptions of capital market participants of firm’s CSR commitment (Sharfman and Fernando, 2008; Goss and Roberts, 2011; El Ghoul et al., 2011; Jo and Na, 2012; Bouslah et al., 2013) by examining the effect of CSR on ICC in the controversial industry sectors. It contributes to the debate around the relevance of CSR in controversial sectors by providing evidence of the reduction effect of CSR activities on ICC in controversial industries and by showing that this reduction impact is more pronounced when the firm belongs to alcohol, tobacco industry sectors.

This article attempts to understand the dynamics of institutional management processes. This concept is defined here as managerial action vis‐a‐vis emerging political and infra‐structural conditions for business in the nation‐state arena. For this purpose the emerging patterns of relationships between business and politics in the Finnish forest sector are described and analysed. Our focus is on the impact of the four most societally loaded changes in political and infra‐structural conditions of the forest sector: its position in the core of the Finnish economy, the ownership of the key resources, the use of timber as the basic source of welfare, and the logging and transportation infrastructure. These changes become the key issues for the level of institutional management in the forest sector. They have remained significant over the studied long‐term period, but the efforts of their moulding have changed over time. These dynamics of institutional management are found to follow a cycle, divided in seven phases, coined as: (1) offensive confrontation, (2) operational co‐operation, (3) differentiation of institutional management, (4) exploitation of a core position, (5) justification of expansion and growth, (6) legitimation of decline, and (7) defensive confrontation. The authors provide examples and evidence of these changing patterns of institutional management, and offer a proposition about the underlying dynamics of the cycle.

The primary objectives of this study are to (1) highlight subsectors and industry groups of the construction sector that are most vulnerable to weather-related disasters (with highest labor cost escalation) and (2) analyze how immediate this labor wage escalation happens in different subsector of the construction sector.

The research methodology consists of three steps: (i) integrating various data sources to enable measurement of the county-level labor wage changes following large-scale weather-related disasters; (ii) measuring postdisaster labor wage changes at the county level; and (iii) comparing amount and timing of postdisaster labor wage changes among all sub-sectors (and industry groups) of the construction sector.

The results show that among the three construction subsectors (Heavy and Civil Engineering Construction subsector, Construction of Buildings subsector, and Specialty Trade Contractors sub-sector), Heavy and Civil Engineering Construction subsector is the most vulnerable to weather-related disasters. The industry groups under the Heavy and Civil Engineering Construction subsector showed the same vulnerability level; however, under the Construction of Buildings subsector, Industrial Building Construction industry group showed to be the most vulnerable; and under the Specialty Trade Contractors subsector, the Building Foundation and Exterior Contractors industry group is the most vulnerable. The results also showed that in approximately 75% of the damaged counties, there were increases in wages of all construction labors, over the following three quarter after the disasters. In average, labor wages in Construction of Buildings subsector and the Specialty Trade Contractors subsector decreased by 0.6% and 0.8%, respectively, in the quarter of disaster and gradually increased by 4.4% and 4.6%, respectively, in the following three quarters. On the other hand, Heavy and Civil Engineering Construction’s labor wages did not experience this decrease right after the disasters; wages increased immediately after disasters hit the counties and continually increased by 8.6% in three quarters after the disasters. It is expected that the results of this study will help policy makers, cost estimators and insurers to have a better understanding of the post-disaster construction labor wage fluctuations.

This study is unique in the way it used construction labor wage data. All data are location quotient, which makes the comparison among the affected counties (with different construction size) feasible.

This study aims to identify the trend and sources of inefficiency of the construction sector in Indonesia causes expensive infrastructure development. The basic model was built on the basis of the intermediate input coefficients of Input–Output Table. The sources of inefficiency were metal goods industry, mining and other quarries, the non-metal goods and minerals industry, the cement industry, petroleum refining, building and business services companies, wood, land transportation, manufacture of rubber and plastic goods, financial institutions and machinery, electrical equipment and equipment industries. Indonesia needs a strong upstream industry on raw and supporting materials of iron-steel, wood and cement.