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When spillovers are measured at a national level, the regional benefits may not be identified if they are too small. Very few studies that examined how FDI impacts the regional productivity of the host nations have shown mixed results. The evidence is still scarce and little is known about how the regional penetration of FDI affects the regional productivity performance. The trajectory of regional productivity growth in India has been a subject of scrutiny and intense debates and remains less systematically investigated. The purpose of this paper is to fill this lacuna by investigating the effect of FDI spillover on regional productivity in Indian states.

Using data supplied by the Central Statistical Organization, National Statistical Organization, National Sample Survey Office, and National Accounts Statistics, Government of India at the Indian Ministry of Statistics and Programme Implementation, first, the study employs stochastic frontier model to explore the extent to which FDI spillover contributes to the regional productivity from panel data of 28 Indian states over 1993-2013. Second, the study examines the roles of absorptive ability and technology gap on productivity effect of FDI. Third, by adopting SFA, we measure productivity growth of Indian states in terms of Malmquist productivity index. Fourth, India’s development is imbalanced. To analyze the imbalance due to skewed distribution of FDI among Indian states, Indian states are divided into three regions, and the spillover effects of FDI on TFP in these regions are explored.

The results on the effects of FDI spillover on regional productivity in India using stochastic frontier and panel data from 28 states over 1993-2013 show that R&D, technology import, human capital, and various specifications of FDI have a significant impact on the regional productivity in India except technology gap. Study does not find support for the resource curse hypothesis in Indian states. Productivity growth for India using the Malmquist TFP index based on the stochastic frontier shows positive impact. The TFP growth in the three regions of India is turned to be differently attributed by the FDI spillover.

Little is known about how the regional penetration of FDI affects the regional productivity performance. This research aims to fill this lacuna by investigating the effect of FDI spillover on regional productivity in Indian states which has been a subject of scrutiny and intense debates.

The purpose of this paper is to propose a method for solving multi-objective linear programming (MOLP) with interval coefficients using positioned programming and interactive fuzzy programming approaches.

In the proposed algorithm, first, lower and upper bounds of each objective function in its feasible region will be determined. Afterwards using fuzzy approach, considering a membership function for each objective function and finally using grey linear programming, the solution for this problem will be obtained.

According to the presented example, in this paper, the proposed method is both simple in use and suitable for solving different problems. In the numerical example mentioned in this paper, the proposed method provides an acceptable solution for such problems.

As in most real-world situations, the coefficients of decision models are not known and exact. In this paper, the authors consider the model of MOLP with interval data, since one of the solutions to cover uncertainty is using interval theory.

Based on using grey theory and interactive fuzzy programming approaches, an appropriate method has been presented for solving MOLP problems with interval coefficients. The proposed method, against the complex methods, has less effort and offers acceptable solutions.

This study aims to explain the role of globalisation on the regional income growth disparities in the states of India and provinces in the People’s Republic of China (PRC).

The authors use two approaches to analyse regional growth disparities: growth accounting and the panel spatial Durbin model.

The growth accounting shows that contributions of growth of capital intensity (GKI) and total factor productivity growth (TFPG) distinguish the high-income (HI) regions from medium-income (MI) and lower-income (LI) regions in India. In the PRC, the contributions of GKI and TFPG in MI regions are slightly higher than HI regions, but significantly higher than the LI regions. The empirical results find that foreign direct investment (FDI), domestic investment, human capital, and interaction of FDI and human capital explain income growth states/provinces in India and the PRC. A region’s income growth and FDI inflows spread the benefit to neighbourhoods in both countries.

The paper contributes by performing a comparative analysis of Indian states and the PRC’s provinces by capturing the neighbourhood effects of economic growth, FDI, investment and human capital and also the interaction effects of FDI with human capital and domestic investment. A comparison of the decomposition of income growth to the growth of factor inputs and efficiency in Indian states and the PRC’s provinces also adds to the existing literature.

The purpose of this paper is to develop a model for sustainable manufacturing by adopting a combined approach using AHP, fuzzy TOPSIS and fuzzy EDAS methods. The proposed model aims to identify and prioritize the sustainable factors and technical requirements that help in improving the sustainability of manufacturing processes.

The proposed approach integrates both AHP, Fuzzy EDAS and Fuzzy TOPSIS. AHP method is used to generate the weights of the sustainable factors. Fuzzy EDAS and Fuzzy TOPSIS are applied to rank and determine the application priority of a set of improvement approaches. The ranks carried out from each MCDM approach is assessed by computing the spearman's correlation coefficient.

The results reveal the proposed model is efficient in sustainable factors and the technical requirements prioritizing. In addition, the results carried out from this study indicate the high efficiency of AHP, Fuzzy EDAS and Fuzzy TOPSIS in decision making. Besides, the results indicate that the model provides a useable methodology for managers' staff to select the desirable sustainable factors and technical requirements for sustainable manufacturing.

The main limitation of this paper is that the proposed approach investigates an average number of factors and technical requirements.

This paper investigates an integrated MCDM approach for sustainable factors and technical requirements prioritization. In addition, the presented work pointed out that AHP, Fuzzy EDAS and Fuzzy TOPSIS approach can manipulate several conflict attributes in a sustainable manufacturing context.

The purpose of this paper is to understand the effect of internet book reviews on reader borrowing intention.

The study used www.yumau.com, www.ptt.cc and the bulletin board system on www.lib.ntou.edu.tw to post announcements, soliciting 33 readers who had browsed internet book reviews to identify books to borrow. Then, using a content analytic method to analyze interview content, an investigation was conducted on the effect of internet book reviews, numbers of references and content of internet book reviews on reader borrowing intention.

These results revealed that numbers of references and content of internet book reviews play an important role in borrowing intention.

These results can provide librarians with a reference for promoting book‐borrowing activities. They can also provide internet bookstores with a reference for managing their book reviews.

Electronic word‐of‐mouth reviews have become an important guide to reader borrowing intention. The study investigates readers' thoughts on internet book reviews and their effects, and advances several management suggestions.

The knowledge management (KM) sharing process plays an essential role in manufacturing under Green Implementation Network (GIN). This study aims to analyze the KM process of adopting a GIN to determine the relative importance of technical risk minimization. The proposed conceptual model was tested by considering two interrelated concepts (GIN and KM process).

Primary data from manufacturing companies in Henan province, China, were collected through 276 questionnaires. PLS-SEM and fuzzy set qualitative comparative analysis (fsQCA) were applied to investigate the configurational path of minimizing the technical risk in the manufacturing process.

The findings showed that the GIN and KM processes minimize the technical risk. The fsQCA reported multiple configurational of GIN and KM processes validated toward technical risk reduction. The study's findings contribute to the existing body of knowledge on technical risk reduction in manufacturing concerns by investigating the complex intersection between GIN and KM process.

This research adds to current GIN and KM literature by focusing on the green process using a resource-based view (RBV) and socio-technical theories. The current study provides practical and theoretical justification for explaining the relationship between GIN and KM processes. Moreover, this study adds to the literature by providing evidence that KM is an essential manufacturing industry enabler in minimizing technical risk.

This paper aims to examine policy innovation among street-level bureaucrats at low-threshold services to people who use drugs during the COVID-19 pandemic in Denmark.

This paper builds on two research projects conducted during the first pandemic lockdown in Denmark. The first is a case study of how COVID-19 impacted on people who use drugs (PWUD) and services for PWUD at the open drug scene in the neighborhood of Vesterbro in Copenhagen. The second is an ethnographic study of how users of services at the intersection of drug use and homelessness were impacted by lockdown.

Drawing on Kingdon’s “multiple policy streams” approach, this study shows how lockdown opened a “policy window” for innovating services to people who use drugs. This paper further shows how the pandemic crisis afforded street-level bureaucrats new possibilities for acting as “policy entrepreneurs” in a context where vertical bureaucratic barriers and horizontal cross-sectoral silos temporarily collapsed. Finally, the authors show how this had more lasting effects through the initiation of outreach opioid substitution treatment.

In Denmark, the emergence of a “policy window” for street-level bureaucrats to act as street-level “entrepreneurs” occurred in a context of rapid government response to the pandemic. For crises to act as “policy windows” for innovation depends on strong, preexisting institutional landscapes.

This paper adds to existing literature on policy innovation during COVID-19 in two ways: methodologically by contributing an ethnographically grounded approach to studying policy innovation and theoretically by examining the conditions that allowed policy innovation to occur.

In light of the conflict between scholarly findings supporting corporate social responsibility’s positive impact on corporate financial performance (CFP) versus findings showing negative impact on CFP, the academic literature has reoriented toward determining the contingency conditions that affect the underlying relationships. This paper aims to investigate two potential contingency factors, the chief executive officer’s (CEO) corporate social responsibility (CSR) expertise and board members’ CSR expertise.

This paper uses an unbalanced panel of archival data of 168 firms from the S&P 500 index for the period 2006–2013. The analytic model is estimated using the feasible generalized least squares regression method with heteroscedasticity and panel-specific AR1 autocorrelation.

The findings reinforce the perspective that CSR positively affects the firm’s financial performance. The authors find that firms realize optimal results from their CSR investments when both the board and the CEO have greater CSR expertise. In other words, both, CEO CSR expertise and board CSR expertise positively impact the CSR–CFP relationship.

The findings of this study advance the literature in three important areas, namely, the social responsibility–financial responsibility relationship, the governance literature and upper echelons theory. First, the theoretical arguments and the empirical evidence highlight that CSR–CFP relationship is at least partly contingent upon the CEO’s and board members’ CSR expertise. Second, this study introduces two important variables: the CEO and board’s CSR experience as proxies for their CSR expertise. Future researchers may consider decomposing the various components of CSR to study the differential impact of each component on financial performance.

First, this study finds that while the CEO CSR expertise may be of value for the firm, such value can only be realized under a capable and effective board that has adequate knowledge in the field of CSR. Second, this study shows that the best-case scenario for firms occurs when both its board members and CEO have had greater prior CSR involvement that contributed to their knowledge inventory and skills. Greater knowledge and skills enhance the quality of the decisions that comprise the firm’s CSR strategy.

While it seems intuitive that prior CSR knowledge and expertise should lead to more and better CSR initiatives, there are few if any studies that empirically examine the effects of this premise on a firm’s financial performance. To the best of the authors’ knowledge, this study appears to be the first that directly tests the relationship between executives’ CSR experience and firm performance.

The chapter discusses how adolescents are moving beyond the dichotomy of biological and linguistic socialization, forming interpretive meanings at home through the reading of literature in their mother tongue, Bengali. Involving cultural relevance and non-vulnerability, the chapter conceptualizes “leisure activities” and “leisure pursuits” of reading practice of the IXth and Xth graders from both Bengali and English medium schools in Kolkata. The discussion from the theoretical construction mentions the further conceptualization of reading habits and language choice. This is where adolescents derive their agency. Adolescents from the Indian and especially from the Bengali perspective have a path of colonial discourse. From historical standpoint, the change in Bengali language and its grammar structure has influenced the acceptance of Bengali literature among adolescents in varying degrees through generations. Using mixed methods and content analysis, the chapter focuses on young teenagers’ narration on the way they maneuver curriculum and literature in their respective homes. Authors, for example, Sunil Gangopadhyay, Satyajit Ray, and Bibhutibhushan Bandyopadhyay, form the Bengali identity construction in the present time. Rabindranath Tagore’s, Sarat Chandra Chattopadhyay’s and Bankim Chandra Chatterjee’s works are always prevalent in the Bengali language syllabus. These are considered the foundational modern literary figures of pre-independent India. These are taught from a nationalist and gender discourse perspective. The adolescents in this chapter also read those at a minimum level at home and attempt to juggle the difficult vocabulary involved. The simple language of post-independent literature is much sought after by teenagers compared to pre-independent literature. Sunil Gangopadhyay’s Kakababu series, Satyajit Ray’s Feluda and Professor Shanku series, and Bibhutibhushan Bandopadhyay’s Chander Pahar stand out among the adolescents from both English and Bengali medium unanimously in this chapter.

Purpose – Public debates about censorship laws largely focus on their desirability and the limits set on free speech. From a historical perspective, however, the logic and contradictions inherent in these laws’ implementation, as well as their evasion, also merit attention. This chapter places at the heart of its investigation the General Communist Notification (1932) in British India which prohibited specific kinds of Communist publications from import and circulation, even more so in a context of mass anti-colonial nationalism. Methodology/Approach – Using government and intelligence agencies’ archival records, intercepted documents of the Communist Party of India, legislative debates and memoirs, this chapter illustrates the censorship of Communist literature in India at two levels: one, it sketches a broad picture of the mode and extent of the censorship of Communist literature in late colonial India (c. 1925–1947). Two, by excavating debates and processes around the treatment to be accorded to books of two British Communist writers, John Strachey and R. P. Dutt, it reveals the constraints and dilemmas of censorship of Communist literature. While doing so, it brings both Indian and British voices to the fore. Findings – This investigation provides valuable insights into the operation of laws related to specific genres of publications, provides an assessment of the success of censorship measures, and highlights the repercussions of their failure. Originality/Value – By illustrating the limited success of censorship measures, as well as the dilemmas of censors and debates among them, this chapter urges for a more nuanced and multidimensional understanding of the operation of censorship, particularly in politically fraught contexts.