Search results

Customers' participation in co-creation is a prerequisite for co-creation success. To identify customer co-creators, research has shown a recent interest in the role of personality traits as predictors of customers' engagement in co-creation. However, the empirical results regarding the direction and significance of these relationships have been inconclusive. This study builds on the five-factor theory (FFT) of personality to enhance one's understanding of the nomological network that determines the relationship between personality traits and customers' willingness to co-create (WCC).

Based on a large-scale empirical study on technology-based services (TBSs) in healthcare (n = 563), the authors empirically investigate the role of the five-factor model (FFM), innate innovativeness (INI) and enduring involvement (EI) in predicting customers' WCC using partial least squares structural equation modeling (PLS-SEM).

The authors’ empirical findings show that depending on the configurational setting of the personality traits tied to the FFM, INI and EI evolve as mediators in determining customers' WCC.

This study is the first to introduce the FFT of personality into co-creation research. The results of this paper shed light on the relationships between personality traits, characteristic adaptations and customers' WCC.

The study builds on existing research in management control (MC) and innovation management. The purpose of this study is to identify patterns in the application of MC instruments which contribute to successful innovation. The application of MC instruments can reduce potential risks and make the new product development (NPD) process more transparent and efficient.

The authors use dyadic data to determine the effect of 58 MC instruments on NPD process stage-specific performance and subsequent innovation and firm success. To provide empirical evidence of each MC instrument’s effectiveness, three importance-performance matrix analyses were conducted that assess the impact of each MC instrument.

The authors identify patterns in the application of MC instruments which contribute to successful innovation activities and the authors determine the impact of MC instruments on NPD performance, innovation performance and firm performance in different stages of the NPD process.

The authors provide knowledge that can be used by managers to review their actual application of MC in the NPD process and to select their instrument set.

The authors contribute to the MC literature by examining data from a cross-industry study on the effects of MC instruments during the NPD process. The authors include a comprehensive set of MC instruments and show how their effect changes between the different stages of the NPD process.

Over the last years, the concept of customer delight has moved into the focus of attention. The necessity of surprise for achieving customer delight and the problem of increased customer expectation (spiral of expectations) have been controversially discussed in the literature. The purpose of the paper is therefore to investigate whether customer delight necessarily requires surprise and whether a misdirected delight strategy can backfire by creating disloyal customers.

This study employs a 2 (after-sales extra value: yes vs no)×2 (knowledge about the extra value: yes vs no) between-subject, scenario-based experiment (n=472) in a hotel environment and partial least squares structural equation modeling to analyze the data.

Study results show that surprise is not a necessary prerequisite for achieving customer delight, but its presence strengthens the delight experience for the customer, positively impacting customer loyalty intentions. Conversely, a surprising nonoccurrence of an expected delight measure causes anger, inducing negative word of mouth and reduced repurchase intentions.

To pursue a sustainable customer delight approach, companies should recognize that they do not need to surprise their customers on every occasion, but rather ensure that customers do not fall short of anticipated delightful events.

The current research strives to contribute to the theory and practice by shedding light on two so far not appropriately addressed research areas of customer delight: the necessity of surprise to evoke customer delight and the consequences of absent but expected delight measures.

The purpose of this paper is to examine whether and how the usage of regulatory fit in cost reduction announcements affects employees’ willingness to engage in the cost reduction program (CRP).

Based on the regulatory fit theory, a scenario-based experiment was conducted (n = 517) to investigate the effect of promotion- or prevention-oriented framing of the CRP on the acceptance and the motivation to actively contribute to the CRP using multiple ANOVAs.

The study results point out that the framing of the cost announcement messages should use feelings or emotions and ensure gains for promotion-focused employees to decrease the negative effects of regulatory nonfit. However, in the case of prevention-focused employees, facts and reasons should be used in combination with an assertion of nonlosses in the announcement message to prevent regulatory nonfit.

This research deepens the understanding on the decision-influencing role of managerial cost announcements on employee motivation and the impact of different regulatory orientations. By this, the authors enhance the current understanding of how employees can effectively be integrated into CRPs and expand previous research on how regulatory fit theory can be used by organizations dealing with negative events.

The study findings offer several opportunities and implications for managers engaged in corporate communication. More specifically, the study findings provide helpful guidelines for organizations to align their cost reduction announcement with the regulatory focus of their employees to reach regulatory fit and thus enhance employee willingness to participate in the CRP.

Despite the increasing attention of regulatory focus and regulatory fit theory and to the best of the authors’ knowledge, this is the first attempt to search for combined effects of emotions and facts versus potential gains and ensuring nonlosses, which both were shown to influence outcomes predicted by regulatory fit.

The purpose of this paper is to develop and empirically evaluate an adoption model for technology-based services (TBS) that integrates a customer’s willingness to co-create (WCC) as mediator complementing the well-known individual differences and innovation characteristics in predicting customer adoption of TBS.

The manuscript uses structural equation modeling to analyze survey data from two empirical studies (n=781 and n=181).

The empirical results show that WCC represents a key mediator between established antecedent predictors (innovation characteristics and individual differences) and the likelihood of TBS adoption. Additionally, the analysis reveals that WCC can even better explain and predict adoption intention of TBS than the commonly used individual differences and innovation characteristics. Finally, the results also suggest that a lack of customers’ WCC may help to explain persuasion-decision discrepancies within TBS adoption.

As the data of this manuscript pertains to the mobile apps market, future research might test the modified technology adoption model in other TBS contexts as well. While the studies used cross-sectional data, it would be interesting to assess the differential influence of WCC across the stages in the adoption process using longitudinal data.

The findings on WCC provide managers with a new set of factors (apart from known antecedent predictors like individual differences and innovation characteristics) to optimize TBS adoption.

This manuscript is the first to examine an adoption model for TBS that integrates a customer’s WCC. Furthermore, the findings provide first empirical evidence that WCC can help to explain persuasion-decision discrepancies within TBS adoption.