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This chapter aims to address the question of the evolution of economists’s reception of Marxism in France, and thus to complete the more general history of the development of Marxism among French academics. To do so, we follow the relationship to Marx’s work of the economist François Perroux, a priori typical of the reversal reception of Marxist ideas in the 1950s, moving from open hostility to enthusiasm. Indeed, an incisive critic of Marx’s writings before the war, then head of the scientific institution of the Vichy regime, Perroux became in the postwar period a leading figure in the diffusion of Marx’s ideas in France. He founded the ISMEA (Institute of Mathematical and Applied Economic Sciences) which published the journal Études de marxologie, and eventually penned the preface to Marx’s economic works in 1963 for the Pléiade. By following this sinuous path, we show that the way Perroux related to Marx’s work helps us shed light on the various shifts in Perroux’s relationship to the science and politics of his time.

This paper aims to examine how high involvement HRM (HIHRM), technology adaptation and innovativeness influence employees to respond to technology innovation performance – that is, radical innovation performance and incremental innovation performance – in distinct ways.

The purposive judgmental sample technique is used to assess the perceptions of 545 IT employees in Bangladesh's ready-made garment (RMG) industry. The partial least square-structural equation modeling (SEM-PLS) method is applied to analyze and interpret the data.

Findings of the analysis show that HIHRM, technology adaptation and innovativeness influence employees to exhibit technology innovation performance. Furthermore, both technology adaptation and innovativeness show the significant mediating effects between HIHRM and technology innovation performance.

First, this study’s findings contribute to HIHRM and technology innovation performance within the context of the resource-based theory. Second, the RMG organizations would acknowledge the role of HIHRM on employee technology adaptability and innovation capability in this regard. A future study might point to the models' ability to create the best work environments, which can help organizations to boost employee productivity through adaptation and innovation.

The study would offer a distinctive perspective on higher-order HIHRM and how they affect IT employees in RMG organizations in Bangladesh that could be approached in other labor-intensive and developing nations. This study also expands the research on technology adaptation and innovativeness by exploring the mediating roles between HIHRM and employee technology innovation performance in the organization.

In this research, we investigate the effect of high-performance work practices (HPWPs) on medical professionals' work outcomes through the mediating effect of perceived organizational support (POS).

The study analyzes the opinions of 218 medical doctors from private hospitals in Bangladesh, employing Partial Least Square-Structural Equation Modeling (PLS-SEM).

We find that HPWPs enhance employee performance and POS and minimize turnover intention. POS also has a substantial influence on both employee performance and turnover intention. Moreover, POS finds a significant mediating effect on HPWPs and performance as well as HPWPs and turnover intention relations.

The current research focuses on medical doctors who are presently working in private hospitals in Bangladesh.

First, the hospital would recognize the role of employee perceived HPWPs. Second, they might understand how HPWPs would utilize and maintain employees effectively via POS that might further improve the healthcare industry. Suggestions for future research indicate the models potential to provide optimal workplace environments that can benefit organizations as well as improve employee performance.

The study would provide a unique insight into the higher-order HPWPs system and its effects on the health care organizations in developing country contexts like Bangladesh. This study also extends the research on POS as a mediator between higher-order HPWPs and employee outcomes in the organization.

The purpose of this study intends to examine the influence of green human resource management (GHRM) on green service behaviors through the mediating effect of green knowledge sharing based on bank employees' perceptions.

The study analyzes 365 frontline employees' perceptions from the banking industry in Bangladesh using partial least square.

The findings show a significant positive direct influence of GHRM on green in-role, extra-role service behavior and green knowledge sharing. Green knowledge sharing is also found to have a significant mediating effect between GHRM and green service behaviors.

This study considers perceptions of employees of the private commercial banking organizations, and thereby, its findings cannot be generalized for all other service organizations in the context of Bangladesh.

The study demonstrates that GHRM can influence employees' green service behaviors via green knowledge sharing.

Green banking is an emerging trend that deserves more attention. There is growing recognition that green banking is not an “automatic” process but requires that banking management promote green service behavior among their employees. This study extends the research on GHRM by focusing on how it impacts green service behavior through the mediating role of green knowledge sharing. The paper provides practical insights for organizations looking to improve green service behaviors among employees.

This study aims to investigate how employee environmental performance (EP) is affected by socially responsible human resource management (SRHRM) via green knowledge sharing (GKS) and environmental commitment (EC).

Partial least squares-structural equation modeling was used to analyze data from 494 frontline employees of hotels.

The findings reveal that SRHRM influences employee EP, GKS and EC. SRHRM indirectly predicts individual EP through GKS and EC mediation. GKS and EC also have significant relationships with employee EP.

Hotels can use the findings of this study to develop effective strategies to promote employees’ positive responses to the environment and improve their organizational identification. Moreover, the current research enables the organization to recognize the importance of employees’ GKS and EC and capitalize on them.

This study links SRHRM to the individual EP level in the hotel industry. This study reveals the importance of EC and GKS as psychological mechanisms linking SRHRM and EP.

This paper examines the process optimization method of the online sales model of information product demand concerning the spillover effect. It illustrates the spillover effect (SE) of online product demand compared with traditional market demand. Also, optimized the SE for the ethical and ordinary consumer.

This article primarily focused on two types of models for online marketing: one is wholesales, and another is the agency. Firstly, the wholesale and agency models without SE and the wholesale and agency models with SE are constructed, respectively, to realize the SE in different sales models. Secondly, online channel participants' optimal price, demand and profit under variant conditions are compared and analyzed. Finally, efficient supply chain theory is optimized for the decision-making of online marketing consumers using an equation-based comparative analysis method.

The study found that when SEs are not considered, stronger piracy regulation makes online channel participants more beneficial. When the positive SE is strong, it is detrimental to manufacturers. When SEs are not considered, online channel participants only reach Pareto in agency mode. Pareto optimality can be achieved in wholesale and agency modes when SEs are considered.

The research has practical implications for an effective supply chain model for online marketing. This is the first algorithm-based comparative study concerning theoretical spillover effect analysis in supply chain management.

Success and business reputation depend upon the quality of products where product quality depends upon the capability of a process, yield value and sigma score, etc. Poor quality of ceiling fan and mass rejection from quality check resulted in an alarming amount of cost for rework. As a result, the fulfillment of the production target was getting difficult day by day. The main purpose of this research is to identify the crucial causes for humming noise of ceiling fans and control it to a tolerable level so that maximum quality can be achieved.

The poor quality of ceiling fans was determined from the Pareto analysis of the define, measure, analyze, improve and control model which was humming noise during running and further actions were undertaken regarding the reduction of the humming noise. Project charter was formed before initiating the measure phase to study the suppliers, inputs, processes, outputs and customers diagram with process parameters and existing noise data were collected from random samples to determine the rolled throughput yield (94.95% existing) and existing sigma score which value of 3.14 and also the poor value (1.05) of process potential index implied that the process condition was below standard (<1.33) and need to be improved badly. Then root causes analysis and relationship diagram was prepared to identify the possible causes and with the design of experiments and correlation analysis, it was clear that the air gap between the stator and rotor was the main culprit behind the humming noise.

The minimum value of air gap was determined from boxplot analysis which was 0.2 mm–0.225 mm and the corresponding mean, the minimum and maximum value of sound level in dB (37.5–40.3 dB) for 0.225 mm air gap with the watt consumption (83 w) from the hypothesis test for the corresponding air gap. Finally, the updated sigma score and process capability analysis were performed with control charts to show the comparison after applying the DMAIC-six sigma methodology. The final sigma score was 5.1 which indicates a significant improvement of the process with the capability of saving US$23,438/year caused by the poor quality of ceiling fans.

Only quantitative values of the causes behind the humming noise were possible to identify. Other trivial many causes elimination might improve the sigma score closer to 6.00. The final sigma score that was achieved from this research was sustainable.

A structural approach with proper data analysis and application of various tools to detect the actual cause behind the humming noise of ceiling fans with numerical value has not been found in any literature. This research study can be a valuable asset for ceiling fan mass producers.

This study aims to empirically examine the influence of CEO characteristics on the sustainability performance of listed banks in Bangladesh through the lens of upper echelons theory.

The authors estimated sustainability performance score based on a hand collected data set from the annual report and sustainability reports of the Bangladeshi listed banks. Following Clarkson et al. (2008), the sustainability index developed by Ong et al. (2016) and the G4 sustainability reporting standards of the global reporting initiative (GRI), a unique scoring index was developed to gather and assess sustainability data from listed banks. A panel regression analysis model is used to investigate the impact of CEO attributes on sustainability performance.

The findings of this study reveal that higher academic qualifications, greater industry experience and a longer tenure of the CEO have a significant and positive impact on the sustainable performance of the Bangladeshi listed banks. Furthermore, this study reveals that Bangladeshi listed banks are considerably behind in implementing the sustainability recommendations of Bangladesh Bank.

This study provides new evidence of how CEOs’ attributes can affect the sustainability reporting of Bangladeshi listed banks. Furthermore, this study measures the real contribution towards sustainability performance compared with the general claims about sustainability made by listed banks in Bangladesh.

This study aims to highlight the inconsistency between conventional knowledge push judgements and the price of knowledge push. Also, a three-way decision-based relevant knowledge push algorithm was proposed.

Using a ratio of 80–20%, the experiment randomly splits the data into a training set and a test set. Each video is used as a knowledge unit (structure) in the research, and the category is used as a knowledge attribute. The limit is then determined using the user’s overall rating. To calculate the pertinent information obtained through experiments, the fusion coefficient is needed. The impact of the push model is then examined in comparison to the conventional push model. In the experiment, relevant knowledge is compared using three push models, two push models based on conventional International classification functioning (ICF), and three push models based on traditional ICF. The average push cost accuracy rate, recall rate and coverage rate are metrics used to assess the push effect.

The three-way knowledge push models perform better on average than the other push models in this research in terms of push cost, accuracy rate and recall rate. However, the three-way knowledge push models suggested in this study have a lower coverage rate than the two-way push model. So three-way knowledge push models condense the knowledge push and forfeit a particular coverage rate. As a result, improving knowledge results in higher accuracy rates and lower push costs.

This research has practical ramifications for the quick expansion of knowledge and its hegemonic status in value creation as the main methodology for knowledge services.

To the best of the authors’ knowledge, this is the first theory developed on the three-way decision-making process of knowledge push services to increase organizational effectiveness and efficiency.

This paper aims to propose a model, based on strategic simulation and scenario planning, to improve the decision-making process in the Brazilian defence area.

Participants are disposed in three levels: decision-makers team – which goes beyond the Ministry of Defence (and military services) alone and includes other representatives of the executive and legislative branches; political and strategic advisory team – civilian representatives with a broad understanding of the national and international contexts that can contribute to developing insights and shaping the forces that may contribute to the nation’s future; and experts database— experts in fields of interest to national defence, comprising representatives of several sectors and broad areas of knowledge, including scholars, scientists, politicians, military, industry, among others.

The planning and preparation of national defence strategies require a long-term approach, which is multidisciplinary, participatory and contextualized to the geopolitical and institutional frames of the country.

However, despite many policy papers intentions, defence issues have always been considered a matter for the military arena due to the country’s cultural background.

Because decisions about defence have long-range impacts and political implications, policy-makers should shape them bearing in mind a complex and politically shared foresight process.

This proposed planning process enables a participatory engagement with some civil organizations and individuals as well as amplifies their commitment in national defence issues.

The proposal is innovative in South America, considering that it encompasses integrated simulations on participatory foresight processes as well as broadened the civilian–military dynamic relationship and the diverse viewpoints in defence implications analysis to include a wider share of the Brazilian society.