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The paper provides an overview of research published in the innovation and operations management (IOM) literature on 15 methods for cost management in new product development, and it provides a comparison to an earlier review of the management accounting (MA) literature (Wouters & Morales, 2014).

This structured literature search covers papers published in 23 journals in IOM in the period 1990–2014.

The search yielded a sample of 208 unique papers with 275 results (one paper could refer to multiple cost management methods). The top 3 methods are modular design, component commonality, and product platforms, with 115 results (42%) together. In the MA literature, these three methods accounted for 29%, but target costing was the most researched cost management method by far (26%). Simulation is the most frequently used research method in the IOM literature, whereas this was averagely used in the MA literature; qualitative studies were the most frequently used research method in the MA literature, whereas this was averagely used in the IOM literature. We found a lot of papers presenting practical approaches or decision models as a further development of a particular cost management method, which is a clear difference from the MA literature.

This review focused on the same cost management methods, and future research could also consider other cost management methods which are likely to be more important in the IOM literature compared to the MA literature. Future research could also investigate innovative cost management practices in more detail through longitudinal case studies.

This review of research on methods for cost management published outside the MA literature provides an overview for MA researchers. It highlights key differences between both literatures in their research of the same cost management methods.

The author develops a bilateral Nash bargaining model under value uncertainty and private/asymmetric information, combining ideas from axiomatic and strategic bargaining theory. The solution to the model leads organically to a two-tier stochastic frontier (2TSF) setup with intra-error dependence. The author presents two different statistical specifications to estimate the model, one that accounts for regressor endogeneity using copulas, the other able to identify separately the bargaining power from the private information effects at the individual level. An empirical application using a matched employer–employee data set (MEEDS) from Zambia and a second using another one from Ghana showcase the applied potential of the approach.

We address the problem of selecting a topological design for a network having a single traffic source and uncertain demand at the remaining nodes. Solving the associated fixed charge network flow (FCF) problem requires finding a network design that limits both the fixed costs of establishing links and the variable costs of sending flow to the destinations. In this paper, we discuss how to obtain a sequence of optimal solutions that arise as the demand intensity varies from low levels to high. One of the network design alternatives associated with these solutions will be chosen based upon the dominant selection criteria of the decision maker. We consider both probabilistic and non-probabilistic criteria and compare the network designs associated with each. We show that the entire sequence of optimal solutions can be identified with little more effort than solving a single FCF problem instance. We also provide solution approaches that are relatively efficient and suggest good design alternatives based upon approximations to the optimal sequence.

Companies that adopt lean operations and lean accounting ultimately should achieve better profitability and cash flows than similarly situated companies that do not adopt lean operations and lean accounting.

Archival data is analyzed through Wilcoxon signed-ranks, matched-pairs tests.

Lean companies had greater returns on net operating assets (RNOA), returns on total assets (ROA), operating cash flows, and cash-adequacy ratios than Non-Lean companies. These results were driven by the larger Lean companies. The profit margins and financing-assets ratios also were marginally better for the Lean companies than the Non-Lean companies.

Lean companies have achieved benefits proposed by the proponents of lean operations. The present study provides a starting point for further research on the financial performance of Lean companies using archival data.

There is limited research on the financial performance of Lean companies that is based on archival data. The present study fills a void in the academic literature. This study measures RNOA, which does not confound operating and financing activities. Additionally, this study utilized a methodology that provides reasonable assurance of the identification of both Lean companies and Non-Lean companies from publicly available data.

On the one hand, there are traditional banks with high street branches; on the other hand, there are neobanks that do not operate physical branches. The ongoing lockdown has placed restrictions on the movement of people. This study aims to extend knowledge on new trends to provide financial services amid the COVID-19 global pandemic. The study also explores social media's impact on banking in the United Kingdom from the total relationship marketing (TRM) theory (Gummesson, 2017). Tweets from 12 banks in the United Kingdom were thematically analysed to understand the challenges and issues banks face due to the pandemic and how they use Twitter to communicate and engage customers since they provide financial services through mobile applications. The location, which influences service delivery, is crucial for delivering financial services to their customers. The analysis presents three key themes: service update, preparation and delivery. Banks use Twitter to highlight updates about their services, provide information on measures to support the ongoing transition to online banking and communicate changes implemented to improve service delivery. This study provides theoretical and managerial implications for stakeholders interested in financial services management, information technology management and customer behaviour.

This study attempts to analyze energy intensity, capacity utilization (CU), output and productivity growth of aggregate manufacturing sector in India during the period 1980–1981 to 2016–2017. A decadal analysis as well as a comparison between pre- and post-liberalization period of productivity growth is also made. Total factor productivity growth (TFPG) is also adjusted with CU to obtain adjusted TFPG. The trend in energy intensity is also analyzed to answer the question of sustainability. Results shows that TFPG declined in the post-reform period, highlighting the fact that liberalization process has its adverse impact on productivity growth. From the study it is observed that a declining trend in adjusted TFPG in the post-reform period, but the rate of decline is higher. Energy intensity and CU of the Indian manufacturing industries is found to be increasing over the study period. Increasing energy intensity, quite significantly, would increase the level of pollution generated by the manufacturing industries. So, interestingly enough, this may lead to conclude that the growth of the manufacturing industries is not in line with the basic essence of sustainable development.

Using the case of women home-based workers in India and the aspirations they have for their children, this chapter argues that aspirations across generations can reveal constraints and conflicts of current social positions. As workers in the informal economy, women’s work experiences are shaped by a matrix of oppression shaped by gender, class, caste, and religion. Yet, resistance to this work only became apparent when discussing hopes for their children’s future. It was in these articulations of aspirations that women stressed the exploitative characteristics of their work and their wish for their children to avoid these same experiences.

The last few years have witnessed massive artificial intelligence (AI) and gaming adoption that has navigated the emerging markets. Moreover, according to the WOG summit (world government summit report, by Nielsen) 2020 reports, AI with gaming mechanisms are expected to enrich marketing services in the coming future in the emerging markets. Countries such as India, China and South Korea contribute significantly to this area, and recent forecasting allows the need to increase in emerging markets. Similarly, these countries have a maximum number of youth gamers and AI-driven technology adopters. The adoption of AI-driven technologies and amplification of gamification in marketing services are new phenomena. Moreover, gaming and AI dynamics are relatively new in emerging countries and need greater attention. Thus, this book chapter proposes a dyad model that would explain users' and companies' perspectives to understand the role of AI and gamification for the emerging markets. The chapter will explain how AI-driven gamification helps the users of emerging markets. The chapter will also illustrate how companies in emerging markets use AI for gamification. Therefore, the dyad model would also comprehend the gap, opportunities and challenges in this area and the subsequent strategies to help all the stakeholders.

Digital transformation allows organisations to increase the efficiency of their operations, respond faster and make more accurate decisions, adapt quickly to a new reality, and improve the customer experience; however, many companies still face several obstacles and challenges on its path to digital transformation, including organisational culture, a lack of IT resources and management, a lack of a clear budget for digital transformation, a challenge with digital security and artificial intelligence (AI). This chapter concludes the edited book focusing on management and information technology in the digital era. We acknowledge there are still many areas that need to be explored regarding technological adoption. However, we hope we have captured some theoretical insights that are available at this point. We hope readers will find the chapters in this book both enriching and thought-provoking and that the insights provided in the collection of research materials will enhance the understanding in this area, inspire further interest in management and information technology in the digital era, and provide a basis for sound management decisions and stimulate new ideas for future research.

In this research, we address the following questions: (1) Do joint ventures (JVs) create value for both parent firms in the dyad? (2) How is the total value created in the venture influenced by resources and capabilities of the two parent firms? In addressing these questions, our objective is to provide added insight into the performance of JVs by shifting the level of analysis to the dyad from the individual parent firm. Our results indicate that a significant proportion of JVs created value for both parents. However, there was also considerable evidence of value destruction with a large proportion of JVs resulting in positive returns to one parent and negative returns to the other. In terms of the second question, we find that the total value created in a JV increases as the value of resources in the dyad increases and decreases with the differential in the value of resources between parents. We argue that the latter effect occurs because when there is a wide differential in capabilities, incentives are shifted away from joint value creation and cooperative behavior toward non-cooperative behavior and appropriating private benefits. Our findings broadly highlight the important role of private benefits in JVs and provide evidence that these benefits significantly influence the performance and dynamics of inter-firm collaboration in various ways.