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This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

This conceptual paper concentrates on how manufacturing companies can revitalize their business models by pivoting into becoming smart service providers accessed through a smart service platform. Three strategic platform options – for firms who wish to pivot from being smart service providers to smart platform providers – are a smart data platform, a smart product platform, and a matching platform. User co-creation molds with data gathering on smart product platforms, which creates scalable opportunity once multiple smart products have been built. Making this kind of transition involves sequential upskilling and investment in tech, branding, and stakeholder management.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

While digital labour platforms are being increasingly studied across the Global South, the existing literature does not conceptualise the theoretical link between such platforms and socio-economic development. This paper theorises such a link drawing on the notion of institutional voids defined, as in Khanna and Palepu (2010), as “the absence of intermediaries to efficiently connect buyers and sellers” in an economy. We frame digital labour platforms as means to fill institutional voids, seeking to create “development” in the form of earning opportunities in contexts of deprivation.

We draw on an interpretive case study of an online work training project in a deprived region of Pakistan, where members of marginalised communities were trained to become freelancers for global digital labour platforms. We use the notion of market-enabling institutions aimed at filling institutional voids as a lens to study the project's declared goals, examining the extent to which these were met in practice for the workers who participated in the training.

Our analysis reveals three types of market-enabling institutions–credibility enhancers, aggregators and distributors, and transaction facilitators–through which digital labour platforms seek to fill institutional voids. However, workers' narratives reveal that institutional voids are only partially filled by these platforms, and their perpetuation results in diverse forms of power asymmetries leveraged by clients and owners of the platforms. We also observe the formation of solidarity networks among workers, networks that are intra-familial and societal rather than characterised by formal unionisation.

The paper offers a novel perspective to theorise the link between digital labour and socio-economic development. Applying such a perspective in a Global South context, it also finds the limits of the digital platforms' institutional void-filling potential, highlighting the emergence of power asymmetries and the emerging formation of worker solidarity networks.

The purpose of this study is to explore and summarize the strategies organizations can follow when adopting a multi-sided platform (MSP) business model. MSPs benefit from direct and indirect network effects, quick scaling, fast innovation and new revenue streams.

This study draws from the literature on business model innovation to identify five strategies in which organizations can transform by creating or acquiring an MSP. This taxonomy is confirmed with a classification of 20 MSPs adopted by 18 organizations, 5 short case studies and an interview with an executive involved in the launch of an organization’s MSP.

To implement an MSP, companies can expand their offerings, intermediate their industry with a marketplace, expand to new geographies or market segment, co-innovate their core product or service and co-innovate complementary offerings.

Organizations are presented with five distinct approaches to transform their business model and benefit from MSP interactions. The cases, quotes from executives and analyzes will serve organizations in designing a platform strategy.

This study provides executives and researchers with insights about how organizations can transform their business models with MSPs.

The sharing economy is the internet-enabled business model that has changed the way people travel, work and interact. Similar to other internet-enabled settings, trust is of paramount importance for the sharing economy as it leads to continued use and positive word-of-mouth. The main objectives of this research are twofold: (1) to identify the most relevant antecedents of trust in the sharing economy; and (2) to identify which combination of these antecedents allows repurchase intention and positive word-of-mouth to be achieved.

Through revision of trust theories and complementary frameworks, and an analysis of the sharing economy, the authors develop a model of trust for the sharing economy. The authors propose a model assuming that different types of trust will form a limited number of pathways valid for the creation of positive behavioural intentions. The authors use qualitative comparative analysis to empirically assess the proposed model on a sample of 235 sharing economy users.

The authors find two configurations that jointly suggest the key role of website quality and usability in generating consumer trust. The authors propose that, on the one hand, platforms might focus on creating value-added services and increasing the reliability of the platform brand. On the other hand, platforms can focus on creating good signalling mechanisms and educate their service providers towards reliable behaviour.

The authors build a conceptual model of trust in the sharing economy setting, that considers the feedback loops among the combination of several dimensions. The authors define specific strategies for platforms in the sharing economy that lead to repurchase intention and positive word-of-mouth.

Due to wider acceptance of information technology (IT) and e-commerce among the consumers, firms belonging to agri businesses are rapidly redefining IT-driven stakeholders' centric completive strategy for their supply chain. This has forced the firms to understand the stakeholders' information needs and quality they expect from the electronic supply chains. Thus, the present study focusses on developing an information quality framework that ensures the success of stakeholders' centric e-agri supply chain. The study also attempts to investigate the interrelationship between formative endogenous latent variables, i.e. value of information (VoI), e-platform responsiveness (RESP), e-platform aesthetics (SAE), e-platform ease of use (EoU) and fulfillment of expectation (FoE) used in the developing the proposed framework.

Survey based data are obtained from 280 respondents using semistructured questionnaire to validate the proposed theoretical framework. The structural equation modeling is performed using IBM Statistical Product and Service Solutions (SPSS) 16.0 and Analysis of Moment Structures (AMOS) 24.0 package to establish structural model by accommodating determinants of information quality framework identified from extent literature. Confirmatory factor analysis (CFA) is employed to examine the robustness of manifesting variables that define the latent constructs. The robustness measuring items of constructs are also ensured through specified criteria of reliability, convergent validity and discriminant validity. At last the one-way ANOVA and post-hoc analysis are employed to investigate the stakeholders’ group difference on each study construct.

The results infer the impact RESP, VoI, SAE and EoU on the fulfillment of expectation (FoE). After applying the bootstrapping technique, it was observed that all causal relationships as proposed in hypotheses H1, H1a, H1b, H2, H3 and H4 have gained significant empirical support, thus verify the framework applicable to e-agri supply chain as the study outcome. Addition to this, SAE mediates relationship of RESP and VoI. The RESP and SAE have an indirect positive effect on “EoU.” Findings also suggest that the intermediaries expect better e-platform responsiveness and value of information from e-agri supply chain as compared to farmers and end consumers.

The findings of the study emphasized on the importance of five exogenous variables for e-agri supply chain in order to achieve stakeholders' expectation fulfillment on the information delivered through e-agri supply chain. The study is of great significance to the practitioners and management professionals by aiding strategic worth of market expansion by maximizing users' base by developing, deploying and facilitating a responsive and resilient stakeholders' centric e-agri supply chains. The study provides insights to the cross-domain researchers, firms, managers and policymakers to capture detailed and deeper understanding on the system design, stakeholders' behavior and in policy formulation so as to suggest remedial measures to strengthen the stakeholders' belief on relying e-agri supply chain.

The study considers the empirical model that shows the determinants and their relationship in the “information quality framework” as unique and novel contribution in the context of e-agri supply chain. The framework determines the quality and efficacious use of information that regulates the effectiveness of e-platform from stakeholders' perspective. The investigated constructs and their relationship depict their importance in creating systematic value chain of information across the supply chain.

The purpose of this paper is to whether competition between platforms can be effective, thus leading to efficient allocations.

Based on the classic linear Hoteling model, this paper builds a two-period competition model for two competing platforms using two variants, namely, a discrimination pricing model and a unified pricing model.

In the case of the discrimination pricing model, the competition is moderate, and the two platforms split the market evenly in the first stage, while both platforms tended to offer preferential treatment to new users and set higher prices for regular customers in the second stage. Compared to the unified pricing model, in the first stage, the platform can provide a higher price that depends on the cross-network effect when it implements discrimination, and thus, obtains higher profits. However, in the second stage, fierce competition leads to the release of benefits, new and regular customers obtain lower prices and the platforms lose higher profits. In the long-run, discriminatory pricing is not the best option due to lower total profits. The two platforms will implement cooperative pricing or one platform becomes dominant.

Instead of focusing on the cross-network effects, this paper emphasizes the role of the same-side network effect on price discrimination regarding the platforms’ competition. The same-side network effects are investigated in relation to a discrimination pricing strategy and compared to a unified pricing strategy. Another innovative aspect is the study of these network effects in a dynamic setting based on a two-period competition model for two platforms.

The purpose of this paper is to determine, rank and form composite relational factors that impact the millennial consumer’s mind-set when they opt for an access-based subscription of an over-the-top (OTT) platform service. In the competitive rising Indian market of OTT platforms, there is a need to understand what factors drive the subscription of a service for a company strategizing to build up on their customer base or for a company seeking to retain its customers.

The approach includes determining factors that impact the buying behavior of the consumer and have them ranked by the survey participants in order of their importance as a factor in considering a subscription of an OTT platform service. Questionnaire as a method is used for primary data collection in this research. Using “purposive sampling,” participants of the survey were determined based on their age group and current or historic consumption of at least one OTT platform service. The survey was conducted for the millennial viewership from Tier I and Tier II cities that have good internet connectivity over their mobile phones.

The result of this research is a ranking of factors based on their importance as perceived by the millennial consumers and then form composite factors, which have similarities in responses.

This research enables the consumers of the information to dwell on the factors that prove to be of comparative importance to the consumer and plan/forecast their strategies and further research studies accordingly.

A research along similar lines has been conducted for US-based OTT platforms. However, this research is specific for Indian consumers and platforms and holds significance because of growth in the Indian OTT market.

This study aims to examine how three perceived interactivity attributes of massive open online courses (MOOCs), namely, perceived active control, perceived synchronicity and perceived two-way communication, impact individuals' engagement and continuance intention of MOOCs through the stimulus-organism-response (S-O-R) lens and how that effect differs between male and female users.

Drawing upon S-O-R as an overarching theoretical framework, this study conducted an empirical study in China and collected 294 valid questionnaires from online learners. Structural equation modeling approach was used to examine the proposed research model.

Empirical results suggest that perceived active control, perceived synchronicity and perceived two-way communication are significant stimuli of individuals' continuance intention of MOOCs, and the influences of perceived active control and perceived synchronicity are partially or fully mediated by engagement on the platform. Multi-group analysis results further indicate that perceived synchronicity has a stronger influence on engagement on the platform for males, while perceived active control and perceived two-way communication are more salient in stimulating engagement on the platform for females.

Research findings from the present study can serve as the foundation to guide MOOCs’ administrators to respond to the needs of participants through interactivity designed into the platform and shed light on possible key solutions of high dropout rates in MOOCs.

This study uncovers the mediating mechanism of affective engagement between interactivity and continuance intention in the emerging context of the latest online learning platform MOOCs and reveals the behavioral differences between females and males regarding their affective reactions to the three interactivity attributes.

This paper aims to present a conceptual framework for the emerging field of green energy platform economics.

The authors develop a conceptual framework based on a careful review of the existing literature, and research into the current provider landscape and insights from academic and industry experts. The authors also examine the implications for the energy sector’s value chain and derive a research agenda based on those areas where research still needs to be pursued.

The framework combines the spatial characteristics of platform models (residential/mobile) with the different types of platform business model (B2C/C2C/C2Grid). Using this framework, the authors illustrate how green energy platforms can fundamentally disrupt the conventional electricity value chain by enabling prosumers to market their assets, creating new arenas for trading and collaboration, and by increasing transparency and competition in the sector. The authors also identify areas where more research is required, particularly empirical studies into energy forms other than electricity and analyses of currently underrepresented aspects such as user interfaces and social interactions.

Green energy platforms have the potential to contribute meaningfully to the energy sector’s decarbonization, digitalization and decentralization, and hence to the deceleration of climate change.

This paper is among the first to provide a holistic perspective on platformization in the energy sector. It also offers a new perspective on platform economics in general that is based on the unique characteristics of energy as an economic good (intangibility, homogeneity, credence good).

This paper aims to examine the role of technology in shaping the interplay between intimate and economic relations in collaborative consumer networks (CCNs).

This research is based on a three-year participatory netnographic and ethnographic field study of hosts, guests and community members within the Airbnb home-sharing network in New Zealand. The data consist of interviews, online and offline participant observations and brief discussions onsite (large-scale Airbnb events, host meetups and during Airbnb stays).

The findings reveal how technologies shape the relational work of home-sharing between intimate and economic institutions through grooming, bundling, brokerage, buffering and social edgework. This paper proposes a framework of triadic relational work enacted by network actors, involving complex exchange structures.

This study focusses on a single context – a market-mediated home-sharing platform. The findings may not apply to other contexts of economic and social exchanges.

The study reveals that the construction of specific relational packages by Airbnb hosts using their digital technologies pave a path for home-sharing to skirt the norms of the home as a place of intimacy and the market as a place for economics. This allows these two spheres to flourish with little controversy.

By augmenting Zelizer’s relational work, this study produces theoretical insights into the agentic role of technology in creating and stabilising a CCN.