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This paper aims to construct an argument in support of the idea that absorptive capacity may lead to improved transactive memory conditional to the effectiveness of knowledge transfer between team members.

The study reports on the results of data collected from 10 knowledge worker teams in a business-to-business context across various industries. The study tests a theoretical model to consider the relationship between the dimensions of absorptive capacity, knowledge transfer effectiveness and transactive memory systems.

At the individual level, the results suggest that knowledge acquisition and assimilation is associated with higher levels of knowledge transfer while unstructured knowledge transfer is associated with specialisation, credibility and coordination that drives transactive memory.

The results suggest that an alternative conceptualisation of the relationship between absorptive capacity, knowledge transfer effectiveness and transactive memory systems is indeed conceivable. This implies that transactive memory can benefit from increased absorptive capacity and enhanced knowledge transfer effectiveness and may point at an under-explored avenue of research.

The benefits and problems associated with firm-generated content (FGC) as a key driver of sponsorship effectiveness demand more research attention. Accordingly, the purpose of this paper is to consider the effect of content marketing on sponsorship-response favorability in the South African energy drink market.

It is theorized that in an FGC environment, sponsor factors, sponsorship factors and event factors drive sponsorship favorability. This notion is tested using a structural equations model among 18- to 35-year-olds.

The results show acceptable model fit and confirm the usefulness of understanding the effects of content marketing on sponsorship favorability. The authors also offer directions for future research.

The results suggest that FGC which is well-designed, packaged and presented can enhance the views of individuals regarding a sponsor – even if the brand operates in a background position as opposed to the conventional foreground position common in promotional material.

The current study considers content marketing in contexts that have largely been avoided so far, or have only featured on a very limited scale in the literature. This study was conducted in an emerging market, business-to-consumer and sponsorship context for the application of a content marketing strategy.

This paper aims to examine the interaction between formal and informal organisation of work inside the pit, with reference to the informal working or coping strategy of “making a plan” (planisa).

The research for this paper was ethnographic in nature and the participant observation was the main research technique used in the field.

The underground gold miners make a plan or engage in planisa to offset the production bottlenecks which affected their capacity to achieve their production targets and increase their bonus earnings. They “get on and get by” underground in order to cope with organisational constraints and management inefficiencies.

The paper highlights the limits of formal organisation of work and the significance of gold miners’ informal work strategy of making a plan (planisa) as an existing and alternative working practice that shapes their subjective orientation, agency and resilience to work structures and managerial strategies. Any strategy designed to improve the health, safety and productivity of underground miners must recognise, elaborate and systematically articulate the workplace culture of planisa as an existing work practice in the day‐to‐day running of the production process down the mine.

The incentive cost of enterprises increases significantly with the rapid growth of the social commerce (SC) market. In this context, enterprises need to develop the optimal strategy to improve incentive effectiveness and reduce cost. Different types of consumers’ responses to incentives bring different values to enterprises. Hence, this paper proposes the social commerce value network (SCVN) to help enterprises study the contributions of different types of consumers to the network.

Based on the graphical evaluation and review technique (GERT), the authors construct the social commerce value GERT (i.e. SCV-GERT) network and design three progressive experiments for estimating the value contributions of “network stage”, “consumer type”, and “resource type” to the SCVN under the same incentives. The authors initialize the SCV-GERT model with consumer data in SC and distinguish the most valuable consumers by adjusting the incentive parameters.

The results show that the SCV-GERT model can well describe the value flow of SCVN. The incentive on forwarding consumers brings the greatest value gain to the SCVN, and social trust contributes the most to forwarding consumers.

Under the guidance of the results, platforms and enterprises in SC can select the optimal type of consumers who bring the maximum network value so as to improve the effectiveness of incentive strategy and reduce marketing costs. A four-level incentive system should be established according to the ranking of the corresponding value gains: forwarding consumers > agent consumers > commenting consumers > potential consumers. Enterprises also need to find ways to improve the social resource investments of consumers participating in SC.

This paper investigates the incentive problem in SC grounded in the SCVN and uses the GERT method to construct the SCV-GERT model, which is the first attempt to introduce GERT into the SC context. This study also makes up for the lack of comparative research on different types of consumers in SC and can provide support for enterprises’ customer relationship management and marketing decisions.

This paper aims to implement quality of service(QoS) dynamic optimization for the integrated satellite-terrestrial network(STN) of the fifth-generation Inmarsat system(Inmarsat-5).

The structure and operational logic of Inmarsat-5 STN are introduced to build the graphic evaluation and review technique(GERT) model. Thus, the equivalent network QoS metrics can be derived from the analytical algorithm of GERT. The center–point mixed possibility functions of average delay and delay variation are constructed considering users' experiences. Then, the grey clustering evaluation of link QoS is obtained combined with the two-stage decision model to give suitable rewards for the agent of GERT-Q-learning, which realizes the intelligent optimization mechanism under real-time monitoring data.

A case study based on five time periods of monitoring data verifies the adaptability of the proposed method. On the one hand, grey clustering based on possibility function enables a more effective measurement of link QoS from the users' perspective. On the other hand, the method comparison intuitively shows that the proposed method performs better.

With the development trend of integrated communication, STN has become an important research object in satellite communications. This paper establishes a modular and extensible optimization framework whose loose coupling structure and flexibility facilitate management and development. The grey-clustering-based GERT-Q-Learning model has the potential to maximize design and application benefits of STN throughout its life cycle.

In recent years, online public opinion reversal incidents have been occurring frequently, which has increased the complexity of the evolution of online public opinion, and they have become a difficult issue for public opinion management and control. It is of great significance to explore the regularity of online public opinion reversal.

Combined with the grey characteristics of online public opinion information, a grey graphical evaluation review technique (G-GERT) network model is constructed based on kernel and grey degree, and the frequency, probability and time of online public opinion reversal nodes are calculated using C-marking method and Z-marking method.

Throughout the online public opinion reversal events, there are all repeated outbreak nodes occurring, so the authors regard the repeated occurrence of outbreak nodes as reversal. According to the average frequency, probability and time of repeated outbreak nodes in the G-GERT network model, the authors predict the corresponding key information of reversal. It can simulate the evolution process of public opinion events accurately.

The G-GERT network model based on kernel and grey degree reveals the regulation of public opinion reversal, predicts the frequency, probability and time of reversal nodes, which are the most concerned and difficult issues for decision-makers. The model provides the decision basis and reference for government decision-making departments.

The purpose of this paper is to explore an emerging ethical theory for the Digital Age – Flourishing Ethics – which will likely be applicable in many different cultures worldwide, addressing not only human concerns but also activities, decisions and consequences of robots, cyborgs, artificially intelligent agents and other new digital technologies.

In the past, a number of influential ethical theories in Western philosophy have focused upon choice and autonomy, or pleasure and pain or fairness and justice. These are important ethical concepts, but we consider “flourishing” to be a broader “umbrella concept” under which all of the above ideas can be included, plus additional ethical ideas from cultures in other regions of the world (for example, Buddhist, Muslim, Confucianist cultures and others). Before explaining the applied approach, this study discusses relevant ideas of four example thinkers who emphasize flourishing in their ethics writings: Aristotle, Norbert Wiener, James Moor and Simon Rogerson.

Flourishing Ethics is not a single ethical theory. It is “an approach,” a “family” of similar ethical theories which can be successfully applied to humans in many different cultures, as well as to non-human agents arising from new digital technologies.

This appears to be the first extended analysis of the emerging flourishing ethics “family” of theories.

The purpose of this paper is to develop a model for forecasting product returns to the company for recycling in terms of quantity and time.

Graphical Evaluation and Review Technique (GERT) has been applied for developing the forecasting model for product returns. A case of Indian mobile manufacturing company is discussed for the validation of this model. Survey conducted by the company and findings from previous research were used for data collection on probabilities and product life cycle.

Product returns for their recycling are stochastic, random and uncertain. Therefore, to address the uncertainty, randomness and stochastic nature of product returns, GERT is very useful tool for forecasting product returns.

GERT provides the visual picture of the reverse supply chain system and helps in determining the expected time of product returns in a much easier way but it requires probabilities of different flows and product life cycle. Both factors vary over a period, so require data update time to time before implementation.

This model is developed by considering all possible flows of sold products from customer to their reuse, store or recycle or landfill. First time this type of real life flows have been considered and GERT has been applied for forecasting product returns. This model can be utilized by managers for better forecasting that will help them for effective reverse supply chain design.

The COVID-19 pandemic has generated unprecedented public fear, impeding both individuals’ social life and the travel industry as a whole. China was one of the first major countries to experience the COVID-19 outbreaks and recovery from the pandemic. The demand for outings is increasing in the post-COVID-19 world, leading to the recovery of the ride-sharing industry. Integrating protection motivation theory and the theory of reasoned action, this study aims to investigate ride-sharing customers’ self-protection motivation to provide anti-pandemic measures and promote the resilience of ride-sharing industry.

This study followed a two-phase mixed-methods design. In the first phase, the authors executed a qualitative study with 30 interviews. In the second phase, the authors used the results of the interviews to inform the design of a survey, with which 272 responses were collected. Both studies were conducted in China.

The present results indicate that customers’ perceived vulnerability of COVID-19 and perceived COVID protection efficacy (self-efficacy and response efficacy) are positively correlated with their attitude toward self-protection, thus leading to their self-protection motivation during the rides. Moreover, subjective norms and customers’ distrust appear to also impact their self-protection motivation during the ride-sharing service.

The present research provides one of the first in-depth studies, to the best of the authors’ knowledge, on customers’ protection motivation in ride-sharing services in the new normal. The empirical evidence provides important insights for ride-sharing service providers and managers in the post-pandemic world and promote the resilience of ride-sharing industry.

The purpose of this viewpoint paper is to explore middle leaders' ability to recognise emotions in the context of workplace research, and to propose measures that might support them in their role.

This paper combines a contemporary literature review with reflections from practice to develop more nuanced understandings of middle leadership. This paper applied the Geneva Emotional Recognition Test (GERT) to explore the level of emotional recognition of 86 individuals (teachers to headteachers (equivalent to school principals)).

The preliminary findings suggest that teachers and headteachers have higher levels of emotional recognition than middle and senior leaders. This paper subsequently argues that the task-orientated nature middle leadership compounds an individual's ability to engage effectively in relationship-orientated tasks. This explains why middle leaders scored lower on the GERT assessment. This is further inhibited by the anti-correlation in the brain's ability to deal with the task-positive network (TDM) and default mode network (DMN) processing functions where individuals operate in one neural mode for long periods.

The viewpoint paper proposes a number of implications for middle leaders and suggests that middle leaders should proactively seek out opportunities to be engaged in activities that support the DMN function of the brain and subsequently the relationship-orientated aspects of leadership, for example, coaching other staff members. However, it has to be recognised that the sample size is small and further work is needed before any generalisations can be made.

This paper offers a contemporary review of the role of middle leaders underpinned by a preliminary study into individuals' ability to recognise emotions.