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The concept of Industry 5.0 is not just one more revolution but calls for a tectonic shift in digitization and operationalizing technology with connected value chain across sectors. It is human centric that promotes talents, diversity and empowerment coupled with resilience leading to agile and adaptable technologies with prime focus on sustainability. The COVID-19 pandemic has given impetus to digital transformation and accelerated the focus on other challenges of present time and with extended importance on people, planet and societal concepts. This study shall attempt to examine the nature of association between revolution of Industry 5.0 with perspectives to digital innovation and its implications toward bringing sustainable business model. The main objective of this chapter shall be to uncover interrelated questions in terms of sustainability perspectives of industries in framing business models. This study shall serve as a primer to significance of digital transformation with relevance to businesses that can lead to efficient use of scarce resources and optimal feasible solutions to the business models, given the institutional and organizational frameworks. Further, an attempt shall also be made to underpin the key facets of effects of Industry 5.0 on the knowledge economy. It shall delve into how digital innovations can yield benefits to industry in terms of competitiveness and sustainability with focus on Society 5.0 that attempts to balance economic development with the resolution of societal and environmental problems. It is not restricted to the manufacturing sector but addresses larger social challenges based on the integration of physical and virtual spaces.

We present theoretical and empirical evidence challenging early studies that found unions were detrimental to workplace innovation. Under our theoretical model, unions prefer product innovation to labor-saving technological process innovation, thus making union wage bargaining regimes more conducive to product innovation than competitive pay setting. We test the theory with population-representative workplace data for Britain and Norway. We find strong support for the notion that local bargaining leads to product innovation, either alone or together with technological innovation.

We examine the interactive effects of organizational culture and structure on the success of implementing activity-based costing (ABC) in Chinese manufacturing firms.

We applied contingency theory of management accounting and used a questionnaire survey of 106 respondents.

The results indicate that a formalized organizational structure significantly affects the success of implementing ABC. The organizational culture factors, outcome orientation and attention to detail, were significantly associated with the success of implementing ABC. Further, interactions between centralization and outcome orientation and formalization and innovation were associated with success in implementing ABC.

While this study is constrained to Chinese manufacturing firms, its findings have ramifications for organizations in both developed and less-developed economies as the study demonstrated that organizational structure and culture interact with each other to affect the implementation success of a management accounting system.

This paper presents the first attempt to demonstrate the interactive effect of organizational culture and structure on the success of implementing ABC in organizations.

The future will see a new revolution in both industry and society in Industry 5.0. Human–robot collaboration and robotic management will be critical components of Industry 5.0. In this revolution, humans and robots will collaborate to improve process efficiency by utilizing human intelligence and innovation. Industry 5.0 creates a powerful framework for modern digital smart factories and manufacturing technologies through complex systems, and it is constructed to interact with powerful computing power, to solve complex problems more efficiently and with less human intervention in this Volatile, Uncertain, Complex, Ambiguous, Radicality, and Rapidity (VUCA-RR) world. To overcome VUCA-RR world, Industry 5.0 involves a combination of human and robotic systems for sustainable development. Managers, practitioners, researchers, and educators are scrambling to understand and implement the method as well as to find best practices toward Industry 5.0. This chapter will draw attention to research and practice topics in the VUCA-RR and business agility development methodology in perspective of Industry 5.0.

The marketing literature indicates that a firm’s organizational culture plays a critical role in determining its market orientation (MO) and thereby the firm’s ability to successfully adapt to its environment to achieve superior business performance. However, our understanding of the organizational culture of market-oriented firms and its relationship with business performance remains limited in a number of important ways. Drawing on the behavioral theory of the firm and the competing values theory perspective on organizational culture, our empirical study addresses important knowledge gaps concerning the relationship between firm MO culture, MO behaviors, innovation, customer satisfaction, and business performance.

We used a survey methodology with Clan Cultural Orientation, Adhocracy Cultural Orientation, Market Cultural Orientation, and Hierarchy Cultural Orientation Clan. Market Orientation Behaviors, Innovation, and Customer Satisfaction and CFROA _t (Net Operating Income + Depreciation and Amortization – Disposal of Assets)/Total Assets.

The overall fit of the first Confirmatory Factor Analysis (CFA) containing the three MO behavior sub-scales, the four organizational culture scales, and the innovation and satisfaction performance measures was good with a χ ² = 760.89, 524 df, p < 0.001; CFI = 0.916 and RMSEA = 0.055. The overall fit of the second CFA containing the business strategy, bureaucracy, and customer expectations control variables was also good with a χ ² = 243.26, 156 df, p < 0.001; CFI = 0.937 and RMSEA = 0.061. We also subsequently ran a third CFA in which the MO behavior construct was modeled as a second-order factor comprising the three first-order sub-scales (generation of market intelligence, dissemination of market intelligence, and responsiveness to market intelligence) each of which in turn arose from the relevant survey indicants. This measurement model also fit well with the data with a χ ² = 84.06, 63 df, p < 0.039; CFI = 0.955 and RMSEA = 0.047. Regressions using seemingly unrelated regressions (SUR) with control variables and with R ² values ranging from 0.28 to 0.54.

MO culture has an important direct effect on firms’ financial performance as well as an indirect effect via MO behaviors and innovations. Importantly, our findings suggest that MO culture facilitates value-creating behaviors above and beyond those identified in the marketing literature as MO behaviors. In contrast to a series of studies by Deshpandé and colleagues (1993, 1999, 2000, 2004), our empirical results suggest the value of the internally oriented Clan and to a lesser degree Hierarchy cultural orientations as well as the more externally oriented Adhocracy and Market cultural orientations. The benchmark ideal MO culture profile we identify is consistent with organization theory conceptualizations of strong balanced organizational cultures in which each of the four competing values orientations is simultaneously exhibited to a significant degree (e.g., Cameron & Freeman, 1991). Our findings indicate that the organizational culture domain of MO appears to be at least as important (if not more so) in explaining firm performance and suggest that researchers need to re-visit the conceptualization, and perhaps more importantly the operationalization, of MO as a central construct in strategic marketing thought.

In building an MO culture, an important first step is to assess the firm’s existing organizational culture profile (e.g., Goodman, Zammuto, & Gifford, 2001). Organization theory researchers have developed competing values theory-based organizational culture assessment tools that can provide managers with an easily accessible mechanism for accomplishing this (Cameron & Quinn, 1999). The profile of the firm’s existing culture and the profile of the ideal culture for MO from our study can then be plotted on a “spider’s web” graphical representation (e.g., Hooijberg & Petrock, 1993). This aids the comparison of the firm’s existing cultural profile with the ideal MO profile, enabling managers to easily diagnose the areas, direction, and magnitude MO culture profile “gaps” in their firm (Cameron, 1997). Specific gap-closing plans and tactics for gaps on each of the four cultural orientations can then be identified as part of the development of a change management program designed to create an MO culture profile (e.g., Chang & Wiebe, 1996). Cameron and Quinn’s (1999) workbook provides managers with an excellent operational resource for planning and undertaking such gap-closing organizational culture change initiatives.

The unavoidable connection between automation and digitalization is already in the business horizon in the name of Industry 5.0. Industry 4.0, the robotic and technological revolution were largely hit among the manufacturing industries, but Industry 5.0 is meant for all sectors across ranges from manufacturing to services. Evolution from the days of mechanization (Industry 1.0) to smart factory (Industry 4.0) witnessed the improvisation of metrics related to efficiency and optimization. And now its turn for the balance between optimization and efficiency with the support from robots in assisting the smarter generation’s technologies and machineries and tools through Industry 5.0 in the domain of marketing too where the change is constant and dynamic would be more accommodative to opportunities and challenges through the next wave of 5.0. The disruption by Industry 5.0 will change existing nature of marketing in terms of customer experience, supply chain, procurement, product development, retail operations, etc. The market which predominantly flourishes with the help of customers in co-creation is going to have robot as bystander with the intervention of this Revolution 5.0 which will level up the existing customer experience. Marketing by its nature demands the cooperation at multiple levels and is becoming easier prey for the Industry 5.0 revolution as it’s expected to create the cooperation between the humans and machines. Product development, customer engagement and customer experience will undergo the transformation due to this industry revolution and also there are other areas in the marketing domain to go through the impact are addressed in this chapter.

The importance of diversification and innovation in strengthening of global competitiveness has been emphasized in both tourism and local development literature. The aim of this chapter is to define the factors (company type, company size, intra-industry investments, collaboration with other companies, and associations) that influence the product- and service-diversification of hotels. This chapter addresses the diversification and innovation strategies of hotels, not only in the light of tourism literature, but also of local development literature, and it provides empirical evidence based on a company-level survey. The findings of the study show that company type, company size, sector-specific knowledge (intra-industry investments and experience of hotel workers), and collaboration with other companies and institutions matter for product- and service-diversification of hotels.

Industry 5.0 is referred to the subsequent industrialization. The ultimate goal of this transformation is to enable manufacturing solutions through collaboration with man and machine which are more user-friendly and increase work quality in comparison to Industry 4.0. This will be accomplished through the consumption of the creative potential of human specialists in the creation of an industry with more efficient, clever, and precise machines. It is predicted that several exciting breakthroughs and apps will help Industry 5.0 in its plan to gain more productivity and supply personalized goods in an open system. On the other hand, Industry 5.0 has had a greater global and international renown from the very beginning of its existence. Machine learning (ML) technology, the Internet of Things (IoT), and big data will create a collaboration with people, robots, and other intelligent devices. Industry 5.0 continues to serve as an attractive driver for our society's workforce skills and young talent in search of purposeful professional lives. There are some challenges as well, such as working with advanced robots requires people to develop skills. People need to gain proper knowledge about collaboration with smart machines and the robot manufacturers industry. However, this ultimate overhaul is necessary for the industry to certify its reason as a solution provider for our society. These things will unquestionably ensure the long-term sustained development (SD) of any nation's economy.

The variance targeting estimator (VTE) for generalized autoregressive conditionally heteroskedastic (GARCH) processes has been proposed as a computationally simpler and misspecification-robust alternative to the quasi-maximum likelihood estimator (QMLE). In this paper we investigate the asymptotic behavior of the VTE when the stationary distribution of the GARCH process has infinite fourth moment. Existing studies of historical asset returns indicate that this may be a case of empirical relevance. Under suitable technical conditions, we establish a stable limit theory for the VTE, with the rate of convergence determined by the tails of the stationary distribution. This rate is slower than that achieved by the QMLE. The limit distribution of the VTE is nondegenerate but singular. We investigate the use of subsampling techniques for inference, but find that finite sample performance is poor in empirically relevant scenarios.