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This study aims to demonstrate that the Dynamic Performance Management (DPM) framework, integrating performance management with system dynamics modelling, enables decision-makers to identify sustainable strategies in online food delivery platforms, thereby avoiding company failure.

This study undertakes a multistep methodological approach. After the literature review, a retrospective case study approach was used. To build the DPM framework and the system dynamics simulation model, primary and secondary data were collected and analysed.

This study by adopting the DPM perspective highlights the critical role performance drivers play to assess the viability of alternative growth strategies in food delivery digital platforms. As such, the findings complement extant studies which highlighted the need for adopting a dynamic perspective in Performance Measurement and Management (PMM), particularly in complex and turbulent environments. Findings also highlight that in food delivery platforms, network effects may result insufficient to reach a critical volume of users and factors such as key drivers impacting platform attractiveness must be considered to design effective PMM.

Future studies may apply the DPM framework here suggested to multiple digital platforms, to validate this study's findings.

This paper offers a guidance to practitioners and scholars to design effective PMM in food delivery digital platforms.

This study offers an innovative perspective to analyse the interdependences among main mechanisms underpinning the performance of food delivery platforms. As such, it contributes to enrich prior PMM literature and addresses the call for more empirical and theoretical PMM contributions in fast-changing and turbulent environments.

Although growing Internet penetration in the hinterlands has attracted agribusinesses to promote digital platforms, farmers are sceptical about using them. The literature discusses agricultural platforms from the theoretical perspective of technological determinism, where the platforms are developed and promoted by firms in a top-down manner to be accepted by farmers. However, this approach results in poorly configured platforms with limited utility for farmers. It is evident from the existing literature that the mere creation of a platform business is not sufficient to guarantee adoption by users. Hence, this study explores how to make the agricultural platform more attractive for farmers.

The present study is based on a discrete choice experiment performed on 126 Indian farmers using agricultural platforms. The data were analysed using the conditional logistic regression method.

The study suggests that farmers expect government and cooperative entities to be also embedded with the platforms. Complementary features such as prompt service, competitive pricing and farm credit were identified as essential attributes. Further, the platforms should enable smallholders to trade farm produce by providing a mechanism for real-time online nudging and bargaining with buyers.

The study is based on the applications of random utility theory. The research has utility for Agtech managers, cooperative institutions and agricultural policymakers.

This is one of the first studies focussing on agricultural platform design from the farmers' perspective. The study implies that incorporating preferred attributes can help practitioners configure platforms to benefit farmers with prospects concerning farm management decisions.

This chapter extends the concept of associational power into the context of online platform work. To do so, this chapter centers on platforms' underlying economic model – the multisided market – to better understand how workers may be able to collectively influence their terms and conditions of employment. In illuminating how labor's associational power functions in platform work arrangements, this model helps explain how collective action may function in the “gig economy” and provides a roadmap for future academic inquiry.

This chapter develops a model of associational power in the ride-hail industry which can be extended to markets defined by geographically specific platforms, like ride-hail, delivery, domestic work, and home healthcare workers.

This chapter finds that there is substantial promise for labor unions and other worker associations in the gig economy. Additionally, we find that even well-intended regulations can harm workers' power if the regulators do not grapple with the structure of digital platforms.

This chapter identifies the foundations of workers' associational power: network effects and multihoming. In contrast to traditional analyses of workers' power, labor's ability to withdraw its effort from a single employer is not the basis of its collective power. Instead, labor's power resides in its ability to withdraw its labor from a competitor and promise its exclusive labor to a single platform. Existing literature has explored the interaction between network effects and market power from the companies' perspective but has yet to extend this analysis to workers' perspective.

This study aims to examine the relationship between organizational capacity, slack resource, platform strategic choice and firm performance. It also tackles the endogenous issues regarding the strategic choice of platform types.

This study uses Heckman’s two-stage procedures to examine the relationship between the variables. The sample in this study comes from Compustat annual company and segment files. The sample used in the main analysis consists of 252 individual corporations globally and 3,528 firm-year observations from 2004–2017.

The empirical results suggest that: (1) firms are more likely to develop physical platforms than virtual platforms when they possess higher levels of available slack, potential slack, research and development (R&D) capacity and marketing capacity; (2) in general, firms developing physical platforms perform better than firms developing virtual platforms after the endogeneity bias are controlled; and (3) firms that choose to develop physical platforms perform better than if they had chosen to develop virtual platforms.

This study contributes to the platform research literature by proposing the endogenous role of platform type choice in firm performance in the context of the retail industry. Prior conceptual and theoretical platform studies have seldom focused on the retail industry through a strategic choice perspective. Furthermore, one of the contributions of this study is the derivation of empirical support for the research’s prediction using data from actual firms carried out by global physical and virtual platform companies. This study also presents many opportunities for further explorations on the relationship between firm strategic choice and firm performance in the context of platform retail industry.

The findings of this study suggest that firms must realize that their performance is not necessarily affected by these platform type choice determinants in terms of potential slack, available slack, R&D capacity and marketing capacity. By contrast, they should pay more attention to developing physical platforms if it is possible. The study findings indicate that although virtual platforms have grown rapidly because of the development of technology, firm performance is at all times superior when firms choose to develop physical platforms.

Prior platform studies have focused on the topic of network structure, platform architecture, pricing strategy, platform leadership and platform design and governance within the context of video game industry, software industry, hardware industry and telecommunications industry. Seldom of them focus on other industries through a strategic choice perspective. Furthermore, one of the contributions of this study is the derivation of empirical support for the research’s prediction using data from actual firms carried out by global physical and virtual platform companies.

The purpose is to assess the impact of online platforms on the sex industry, focusing specifically on direct sex work, and evaluate what approaches to platform regulation is likely to align with the interests of sex workers.

The paper presents a review of interdisciplinary conceptual and empirical literature on sex work combined with analysis of key issues using a transaction cost framework.

Online platforms generally make sex work safer. Regulation aimed at preventing platforms from serving sex workers is likely to harm their welfare.

Regulation of online platforms should take great care to differentiate coercive sex from consensual sex work, and allow sex workers to experiment with governance mechanisms provided by entrepreneurs.

The paper demonstrates how a transactions costs approach to market behaviour as applied to personal services like ridesharing can also shed light on the challenges that sex workers face, partly as a result of criminalisation, and the dangers of over-regulation.

The purpose of this paper is to understand marketing–sales–service (M-S-S) interface from the point of how social media marketing (SMM) platforms are prioritized and associated business-to-business (B2B) sales process influence. This study also seeks to understand whether effective triadic alignment is achieved between marketing, sales and service.

This study combines literature review and the analytical hierarchy process model. In total, 30 M-S-S managers of a multinational electronics firm situated in Africa and the Middle East participated in this study. The authors collected data from M-S-S managers during training sessions on marketing, sales, service alignment and SMM role in sales process.

In their drive for customer orientation and improved organizational performance, marketing, sales and service managers view understanding the customer as the most important sales process attribute. Considered second most significant sales process attribute is needs discovery, whereas approaching the customer is ranked the least important. From the ratings of sales process attributes evaluation and rankings of SMM platform alternatives, the results show a significant hierarchical influence of Facebook, LinkedIn and Twitter on sales process. The results also show an enabling influence of SMM activity on M-S-S interface alignment.

This study has a twofold limitation. First, it explored only one major B2B firm in the electronics industry. Second, only the African and Middle East settings are considered in this study. These limitations could be addressed in future research.

This paper provides practical insights into how M-S-S managers may leverage social media to enhance customer orientation and boost organizational performance. The use of SMM can help M-S-S managers of the focal firm to predict purchase behavior of customers more accurately and as a result effectively manage and improve sales performance. In that drive of using SMM-based competitive intelligence to deliver superior customer experience and enhance sales performance, B2B marketing-oriented firms can also leverage the interdependence (information sharing and involvement) in the M-S-S interface during the SMM activity to enhance triadic alignment.

This study contributes to the literature by developing a framework for modeling SMM influence on M-S-S and B2B sales process to deliver superior customer experience and drive business performance.