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The purpose of this paper is to examine the effect of workload on quantitative and qualitative job performance. Different levels of workload can affect performance of employees, and it is important for firms to assess the effect of this in order to improve capacity decisions. The literature is not entirely clear on the relationship and calls for further empirical evidence on that matter.

The study uses field data from a mid-sized grocery supplier. In total, 9,210 observations of 27 employees over three years and eight months are analyzed with different statistical models. Employees all work in the same department so that it is a very homogenous data set.

Results show that there is an inverted U-shape relationship between workload and performance. Output of employees increases up to a certain point after which it decreases. Similarly, the quality of performance is highest under moderate levels of workload, which provides evidence against a tradeoff between quantity and quality.

The study uses a unique set of data from one firm, which limits generalizability, but adds to an important stream of literature.

Results show how workload has a direct effect on performance. Consequently, firms need to balance the workload in order to be able to maximize the performance of their employees.

Despite the relevance of the topic, there is hardly any empirical evidence on the relationship between workload and performance. This study thus contributes to the management literature and provides significant evidence on an inverted U-shape between workload and quantitative performance.

The purpose of this paper is to examine determinants of the decision to disclose intellectual capital in annual reports.

The paper derives theoretical predictions from the previous literature and bases the study on archival data with a sample of 125 publicly listed Australian firms. The authors perform a content analysis of annual reports and complement the data with quantitative data from the sample firms.

The paper finds that industry type plays a key role as a determinant for the disclosure of intellectual property in annual reports. In addition, firm size is another determinant for intellectual disclosure of firms. In contrast with earlier studies and theoretical predictions of voluntary disclosure, however, the paper does not find any relationship between the level of information asymmetry and intellectual capital disclosure.

One limitation refers to the content analysis. Analyzing the annual reports based on the specified list of IC‐related terms may not provide the whole picture as well as the IC disclosure practices. Despite these limitations, the study helps to understand better in general what kind of firms actually disclose information on intellectual capital.

In contrast with earlier studies the study uses significantly more observations, which makes the results more reliable and generalizable. Of further significance is the finding that information asymmetry – one of the main problems between investors and firms – is not driving the decision of firms to disclose information on intellectual capital.

The authors develop and validate a conceptual model, the retirement engagement model (REM), to understand the relationships between behavioral engagement (retirement information search), cognitive factors and engagement (e.g. beliefs and financial knowledge), emotional engagement (e.g. anxiety), and socio-demographic factors. Approach: The authors derive the REM through a three-step procedure: (1) an extensive literature review, (2) interactive feedback sessions with experts to confirm the model's academic and managerial relevance, and (3) an empirical test of the REM with field data (N = 583). The authors use a partial least squares (PLS) structural equation model and examine heterogeneity through a finite mixture model.

Around the globe, people are insufficiently engaged with retirement planning. The customer engagement literature offers rich insights into antecedents, outcomes, and barriers to engagement. However, customer engagement literature lacks insights into cognitive, emotional and behavioral factors that drive engagement in retirement planning, a utilitarian service context, which is important for financial well-being.

Beliefs such as perceived susceptibility, severity, benefits, barriers, and self-efficacy, together with trust and retirement anxiety, explain people's search for pension information. These factors can be used to define three clear, actionable segments of consumers.

The findings advance the customer engagement and transformative service research literature by generating insights on engagement with retirement planning, a utilitarian rather than hedonic service context that is especially relevant for financial well-being. The findings inform managerial practice and emphasize the relevance of including cognitive and emotional engagement factors that trigger behavioral engagement. The REM can help to improve pension communication. For example, the results indicate that marketers should stress the benefits of, rather than the barriers to, acquiring information.

People around the world are not sufficiently capable or willing to engage in retirement planning. New technological tools have been proposed as a promising solution to foster involvement and consequently encourage retirement planning. This paper aims to test whether an interactive online pension planner can improve participants’ behaviour, behavioural intentions, attitude, knowledge and perceived ease of use, usefulness and enjoyment.

In collaboration with a company specialised in technologically advanced pension planners, three different versions of an online pension planner were created. The control condition only allowed participants to check their pension situation and the composition of future retirement income. In the medium interactivity level, participants could choose to modify certain variables affecting their pension income, on top of the features from the control. The highly interactive planner additionally included an interactive budget tool and showed whether the accumulated pension income was sufficient to cover the desired spending. Data were collected with the help of an online panel (N = 285).

This paper finds a positive effect of interactivity on behaviour within the planner, that is, the number of clicked options, as well as on participants’ intention to check their personal pension situation in the upcoming three to six months. Moreover, this paper finds gender differences: male participants prefer a high level of interactivity, while women prefer a medium level.

An interesting modification to the current research design would be to use personal, self-relevant data in the online pension planner. Moreover, conducting the study in a computer laboratory could increase concentration on the task, and hence involvement. Next to gender, there might be other factors that possibly influence the results. It would be interesting to investigate other measures of behaviour such as the time spent on the pension planner. Further research should also study the effects of other features that shape user’s perception of interactivity, which include human-to-human interactivity.

The results show that technological services, such as advanced online pension planners, can positively affect engagement with retirement planning. Thus, pension providers are encouraged to use interactive online pension planners. The results with respect to gender suggest tailoring pension planners to match specific preferences of recipients. New service technologies provide novel opportunities to cater to individual differences by, for example, integrating less interactive features for women than for men in a pension planner. Moreover, cognitive involvement should be stimulated by integrating relevant, interesting and valuable information.

Lack of engagement with retirement planning is an important challenge to Western societies. People who do not sufficiently search for information about their expected pension benefits may encounter significant pension gaps resulting in detrimental welfare effects at retirement. This problem is enhanced by the fact that increasingly, the risks and responsibility for retirement planning are being shifted towards pension plan participants themselves. Thus, finding ways to increase engagement with retirement planning by making use of advances in service technologies brings benefits to society.

First, this paper contributes to the customer engagement literature by studying how new technological interfaces improve user experiences, knowledge and engagement within the low involvement context of retirement planning. Second, this paper advances service research by zooming in on customer heterogeneity in using the technology-based online pension planner and studying the moderating effect of involvement and gender more closely. Third, this paper contributes to the financial services literature by studying how new service technologies can help to increase attitudes, knowledge and engagement with retirement planning.

This study aims to conceptualize and test the effect of consumers’ perceptions of complaint handling quality (PCHQ) in both traditional and social media channels.

Study 1 systematically reviews the relevant literature and then carries out a consumer and manager survey. This approach aims to conceptualize the dimensionality of PCHQ. Study 2 tests the effect of PCHQ on key marketing outcomes. Using survey data from a German telecommunications company, the study provides an explanation for the differences in outcomes across traditional (hotline) and social media channels.

Study 1 reveals that PCHQ is best conceptualized as a five-dimensional construct with 15 facets. There are significant differences between customers and managers in terms of the importance attached to the various dimensions. The construct shows strong psychometric properties with high reliability and validity, thereby opening up opportunities to treat these facets as measurement indicators for the construct. Study 2 indicates that the effect of PCHQ on consumer loyalty and word-of-mouth (WOM) communication is stronger in social media than in traditional channels. Procedural justice and the overall quality of service solutions emerge as general dimensions of PCHQ because they are equally important in both channels. In contrast, interactional justice, distributive justice and customer effort have varying effects across the two channels.

This study contributes to the understanding of a firm’s channel selection for complaint handling in two ways. First, it evaluates and conceptualizes the PCHQ construct. Second, it compares the effects of different dimensions of PCHQ on key marketing outcomes across traditional and social media channels.

This study enables managers to understand the difference in efficacy attached to different dimensions of PCHQ. It further highlights such differences across traditional and social media service channels. For example, the effect of complaint handling on social media is of particular importance when generating WOM communication.

This study offers a comprehensive conceptualization of the PCHQ construct and reveals the general and channel contingent effects of its different dimensions on key marketing outcomes.

This paper aims to examine experiences of low customer power in service interactions and the impact of those experiences on customers’ engagement and disengagement towards a firm. It subsequently identifies how such experiences may affect customers’ wellbeing.

The authors conducted visual elicitation interviews with 30 customers of a range of services. Data were analysed thematically using abductive reasoning.

Low customer power is influenced by several factors perceived by customers as associated with the firm and/or the context of the customer–firm relationship. Results show that low power drives negative customer engagement and may result in behavioural disengagement. Low customer power, negative engagement and disengagement can have negative implications for customers’ eudaimonic (physical and financial) and hedonic wellbeing.

Future studies might explore specific service contexts and power dynamics across service ecosystems and should further analyse the implications of these relationships on firms’ strategic organisational responses.

Firms should monitor customer power and explore means of enhancing the wellbeing of their customers through strategies designed to increase customer power, thus, reducing negative customer engagement and avoiding detrimental impact on customer wellbeing.

This study reframes discussions on low customer power in relation to firms and its impact on firms and customers. It identifies low customer power as a key variable in the study of customer engagement, disengagement and wellbeing.

The purpose of this paper is to examine the customer decision-making journey of high involvement female fashion consumers in the context of omnichannel fashion retailing.

The research is qualitative in nature, using a multi-method approach consisting of focus groups, semi-structured interviews, online diaries and follow-up interviews, with grounded theory applied to analyse the data.

The results of the study include a framework to outline the stages of the omnichannel customer decision-making journey for young high involvement female fashion consumers. The findings also reveal that an omnichannel decision-making journey is the one that predicated on risk and that consumers employ specific strategies to avoid such risks.

Due to the nature of this research, the sample size is limited and may not be generalised. Data collection was confined to Manchester, UK.

Customer journey mapping enables practitioners to view the entire shopping experience through the eyes of the customer and enables retailers' fault-find issues within the customer and brand experience.

The paper advances knowledge about fashion and consumer behaviour. The customer decision journey framework maps the emotional experiences, devices and channels encountered by high-involvement fashion consumers across each stage of the omnichannel journey.

The purpose of this paper is to investigate the possibility of using the new marketing research tool of prediction markets (PMs), which integrates customers to into the marketing research process. The research questions are: does taking part in PMs influence customers’ brand perception? Is there a danger of damaging a brand through this tool?

The paper uses a series of five short-term (less than one hour) and five long-term (three weeks) experimental online PMs where customers are integrated into marketing research and apply a series of online-surveys before and after taking part as virtual stock market traders. Subjects of research are taken from the sporting goods industry.

The paper shows that PMs can be used by marketing researchers without the danger of damaging the brand of the products that are subject of the PMs, although customers are being integrated to improve the markets’ forecasting accuracy.

The study's subject are medium priced sporting goods only. Possibly in other product fields, results may differ. Thus, the authors see a field for further research in this limitation.

Managers for marketing intelligence have more reason to make use of the efficient and rather new tool, PMs. Marketers can potentially improve their forecasting accuracy by integrating customer information into their reports. In addition, the authors see a high potential in the area of innovation management as well.

There has been no research on perceptions of PMs and brands at all so far.

In this chapter we discuss the dynamics of convergence-divergence between organic and non-organic farming systems. We are specifically interested in how and in what ways organic systems emerge into a new system that synthesizes the diverse qualities of competing systems. Or, will these systems continue to diverge because of their path dependencies and contradictory, unresolvable logics? Alternatively, are we confronted with conversion? Following a discussion of the origin of organic agriculture and the IFOAM Principles, we explore differentiation of two agricultural paradigms that was developed more than 20 years ago before the rise of GMOs. This comparison identifies the key features of both systems and a first interpretation on the potential of convergence-divergence. Third, we take a macro-look at agro-food chain that offers insights on the convergence-divergence potential in the context of global, economic, market, political, and societal dynamics. Fourth, we discuss convergence-divergence at the production level comparing the four agricultural systems. Finally, we reflect and assess on the explanatory potential of our study for the future development of organic and non-organic agriculture/farming. We conclude that there is more evidence for conversion than for convergence.

The purpose of this paper is to provide insights into the benefits of data‐driven services marketing and provide a conceptual framework for how to link traditional and new sources of customer data and their metrics. Linking data and metrics to strategic and tactical business insights and integrating a variety of metrics into a forward‐looking dashboard to measure marketing ROI and guide future marketing spend is explored.

A detailed synthesis of the literature is conducted and contemporary sources of marketing data are categorized into traditional, digital and neurophysiological. The benefits and drawbacks of each data type are described and advantages of integrating different sources of data are proposed.

The findings point to the importance and untapped potential of data in its ability to inform tactical and strategic marketing decisions. Future challenges, including top management support, ethical considerations and developing data and analytic capabilities, are discussed.

The results demonstrate the need for executive service marketing dashboards that include key metrics that are service‐relevant, complementary and forward‐looking, with proven linkages to business outcomes.

This paper provides a synthesis of data‐driven services marketing and the value of traditional and contemporary metrics. Since the true potential of data‐driven service management in a connected world is still largely unexplored, this paper also delineates fruitful avenues for future research.