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Theoretical explanations for the diverse reactive feedback from secretarial employees in different career phases are relatively unexplored. However, research examining age differences in the impact of feedback suggests that the effects of performance feedback may differ for employees in the early career phase and employees in the late career phase. This paper aims to address this issue.

This contribution reports an experimental study on feedback perceptions and attribution by 173 secretarial employees of 12 Dutch organizations. Each participant responded to one of eight scenarios, which varied in terms of feedback content, sender status, and sender performance appraisal. Feedback perceptions were measured in terms of perceived fairness, acceptance, usefulness, willingness to improve and affect. An additional scale measured attribution.

The results reveal that elaborated specific feedback is perceived as more adequate, irrespective of feedback sender status and appraisal. Complex three-way interaction effects were found for educational level on affect and attribution, and for career phase on willingness to improve and affect. Low-educated employees reacted more strongly to supervisor feedback. Employees in the late career phase were more oriented towards the content of the feedback than feedback sender status, whereas the latter was of more concern for employees in the early and middle career phase.

In order for feedback to be considered as adequate, it is necessary to formulate the feedback as specific and as elaborated as possible. Employees in their late career phase especially react differently in comparison to employees in early and middle career phases. They are more inclined “to opt for quality” and appreciate elaborated feedback from a high experienced sender. Human resource managers should be aware of this in their policy towards employees in their late career phase

The present study shows that feedback content and sender characteristics (status and performance appraisal) differentially affect feedback perceptions and attribution. In addition, the study reveals that perceptions and attributions of performance feedback might be mediated by educational level and career phase.

Culture is a central concept broadly studied in social anthropology and sociology. It has been gaining increasing attention in economics, appearing in research on labor market discrimination, identity, gender, and social preferences. Most experimental economics research on culture studies cross-national or cross-ethnic differences in economic behavior. In contrast, we explain laboratory behavior using two cultural dimensions adopted from a prominent general cultural framework in contemporary social anthropology: group commitment and grid control. Groupness measures the extent to which individual identity is incorporated into group or collective identity; gridness measures the extent to which social and political prescriptions intrinsically influence individual behavior. Grid-group characteristics are measured for each individual using selected items from the World Values Survey. We hypothesize that these attributes allow us to systematically predict behavior in a way that discriminates among multiple forms of social preferences using a simple, parsimonious deductive model. The theoretical predictions are further tested in the economics laboratory by applying them to the dictator, ultimatum, and trust games. We find that these predictions are confirmed overall for most experimental games, although the strength of empirical support varies across games. We conclude that grid-group cultural theory is a viable predictor of people’s economic behavior, then discuss potential limitations of the current approach and ways to improve it.

This study examined the impact of interpersonal and intrapersonal factors upon the use of competitive and collaborative conflict resolution strategies in response to negative feedback Male and female college students were asked to recall instances of interpersonal conflicts where they received negative feedback from peers. Different factors predicted competition and collaboration. Greater negative affect led to more competition, while feedback on more important topics within closer relationships led to more collaboration. Gender had indirect effects on both of these assertive strategies, with women being more likely to both compete and collaborate. Several implications for further research are discussed.

The purpose of this paper is to overview the state of research on feedback and aspects of feedback that have been under-researched in the scholarly literature, particularly involving the theme of quality of the feedback. The paper seeks to draw on the existing literature, to develop a conceptual framework that identifies important aspects associated with quality of feedback that the articles in this special issue uniquely address.

This is a conceptual article that presents the results of an analysis of the feedback research literature and offers an abbreviated overview of it. It also develops a conceptual model that illustrates the complexity of the feedback process and identifies gaps that exist in the literature which the contributions of this special issue address.

The provision of feedback is critical to individuals ' learning and performance improvement in the context of their work. Coupled with the provision of feedback is the importance and need for high quality feedback. The quality of feedback and factors that influence it are the central themes of this issue.

This paper introduces this special issue on “Perceptions of quality of feedback in organizations: characteristics, determinants, outcomes of feedback, and possibilities for improvement” by overviewing the concepts associated with feedback and feedback seeking and developing a conceptual model that highlights the complexity of the feedback process. It also identifies existing gaps in the knowledge base that the contributions within this special issue address.

Although knowledge transfer in the context of projects and project-based organizations (PBOs) has gained increasing attention from academia and industry, it is not clear how knowledge transfers from projects to their parent PBOs. This research aims to explore the main factors influencing knowledge transfer from projects to their parent PBOs, and analyze how these factors integrate the transfer process as system components using the system dynamics (SD) method.

Based on the literature review, investigation and interview, this paper adopts the event analysis to obtain the influencing factors from historical cases and establishes a conceptual model of knowledge transfer from five dimensions, which simultaneously considers the knowledge sender, knowledge receiver and the relationship between the knowledge sender and receiver, knowledge features and transfer context. Then, the relationships between variables in the qualitative model were clarified, and a quantitative model including seven feedback loops was established using the SD model. Lastly, the system simulation and sensitivity analysis of the main parameters were realized in Vensim PLE software.

The simulation analysis results show that the model can simulate the knowledge transfer process from projects to the PBO to a certain extent. This research fully demonstrates the impact of variables from five dimensions on knowledge transfer and incorporates the knowledge gap and transfer threshold in the research category. Moreover, the rationality of seven feedback loops proposed in the model was verified. And the effects of various factors on the amount of knowledge transferred and the PBO's knowledge stock were examined through sensitivity analysis. Furthermore, recommendations for developing an integrated knowledge transfer mechanism of PBOs and projects to enhance transfer effect are offered.

This research provides other researchers with a systematic understanding of transfer process from projects to PBOs, and insight for further research on knowledge transfer in project and organization contexts. Furthermore, this study guides researchers to focus on the causal processes that constitute knowledge transfer and explores the expected and unexpected phenomena generated over time. However, some variables involved in the transfer process are simplified, and the establishment of a more complex dynamic model needs further research and discussion.

By establishing a simulation model for knowledge transfer from projects to their parent PBOs, this study helps project teams and PBOs grasp the overall picture of the transfer process. Especially, this paper provides target-oriented recommendations for project and PBO managers to implement effective knowledge transfer practices, which have certain practical values for knowledge cultivation, coordination, reuse and innovation in the organization.

This study contributes to knowledge management and project management literature by simulating the knowledge transfer process from projects to their parent PBOs. Additionally, this paper provides a reference for PBO and project managers to establish an integrated knowledge-transfer mechanism in the work process and comprehensively implement effective knowledge transfer practices.

Despite the importance of online word-of-mouth (WOM) communication to senders, receivers and concerned companies alike, a surprisingly limited amount of research exists on the impacts of online WOM participation on the senders themselves. Motivated by an attempt to fill this significant gap in the literature, this paper aims to investigate the sender outcomes of online WOM participation.

The authors draw on insights from focus group studies and psychological theories of emotions, catharsis and regret and the signaling theory to develop a conceptual model linking the drivers and content characteristics of online WOM participation and sender outcomes.

The findings show that sender outcomes from online WOM transmission differ by the types of drivers stimulating the online sharing activity and the level of exaggeration in the senders’ self-generated contents. Specifically, online WOM triggered by emotions leads to catharsis and emotional homeostasis among the senders, while that stimulated by motivational drivers such as altruism, reciprocity, self-enhancement and belongingness leads to sender happiness. Exaggeration in self-generated WOM contents by the senders, in turn, leads to delayed outcomes of sender regret and reduced sender trust in general online WOM contents.

The most important contribution to online WOM research lies in the study of the outcomes of WOM transmission from a sender’s point of view. By drawing on our exploratory findings and psychological theories of emotions, catharsis and regret and the signaling theory, the authors develop a conceptual model linking the drivers and the exaggeration nature of online WOM participation and sender outcomes.

Managers should realize that the most fundamental way of ensuring positive consumption experiences is to listen to customer voices, including even the most negative of feedback shared privately or publicly, and use that information to improve essential customer experience aspects. The finding on the effects of online WOM exaggerations on sender regret suggests that companies and consumers alike should work on ensuring producing more accurate and complete online customer reviews. The finding on the negative effect of online WOM exaggerations on sender trust raises an important question on the meaning of high quality reviews from the company’s perspective. To pursue high quality reviews, merchants should not only aim at receiving the highest possible numeric ratings but also encourage most truthful accounts of purchase and usage experiences. In turn, online platforms such as Amazon should also factor the quality of online ratings more effectively into their product recommendation algorithms.

In further consideration of consumer welfare implications, online WOM transmissions should be more recognized as a tool for allowing consumers to cleanse their emotions associated with marketing stimuli.

Overall, the qualitative study and proposed conceptual model contribute to a more thorough and deeper understanding of individual-level sender outcomes of online WOM participation.

The purpose of this research is to gain a better understanding of how a crowd-shipping platform can achieve a critical mass of senders and carrier crowd members to yield network effects that are necessary for the platform to grow and thrive. Specifically, this research studies the participation decisions of both senders and carriers over time and the impacts of the resulting feedback loop on platform growth and performance.

An agent-based model is developed and used to study dynamic behavior and network effects within a simulated crowd-shipping platform. The model allows both carriers and senders to be represented as autonomous, heterogeneous and adaptive agents, whose decisions to participate in the platform impact the participation of other agents over time. Survey data inform the logic governing agent decisions and behaviors.

The feedback loop created by individual sender and carrier agents' participation decisions generates complex and dynamic network effects that are observable at the platform level. Experimental results demonstrate the importance of having sufficient crowd carriers available when the platform is initially launched, as well as ensuring that sender and carrier participation remains balanced as the platform grows over time.

The model successfully demonstrates the power of agent-based modeling (ABM) in analyzing network effects in crowd-shipping systems. However, the model has not yet been fully validated with data from a real-world crowd-shipping platform. Furthermore, the model's geographic scope is limited to a single census tract. Platform behavior will likely differ across geographic regions, with varying demographics and sender/carrier density.

The modeling approach can be used to provide the manager of a volunteer-based crowd-shipping program for food rescue with insights on how to achieve a critical mass of participants, with an appropriate balance between the number of restaurant food donation delivery requests and the number of crowd-shippers available and willing to make those deliveries.

This research can help a crowd-shipping platform for urban food rescue to grow and become self-sustainable, thereby serving more food-insecure people.

The model represents both senders and the carrier crowd as autonomous, heterogeneous and adaptive agents, such that network effects resulting from their interactions can emerge and be observed over time. The model was designed to study a volunteer crowd-shipping platform for food rescue, with participant motivations driven by personal values and social factors, rather than monetary incentives.

The owners of mega projects typically assemble multiple academic research units and enterprises to form an innovation alliance, which carries out knowledge transfer and knowledge creation targeting technical challenges in the process of engineering construction. Due to high technical and management complexity of mega projects, factors affecting knowledge transfer among innovation subjects are complex and diverse. This study proposes a mixed system dynamics (SD) method to build and simulate the process of knowledge transfer in mega projects innovation and analyzes the driving mechanism that enhances knowledge stock of enterprises and engineering innovation results.

First, this paper proposes a conceptual model for knowledge transfer in mega projects by adopting event analysis of the data gained from investigations and interviews. Then, a qualitative model of knowledge transfer that considers mutual influences of the owner, academic research unit and enterprises is developed. Based on that, mathematical relationship among variables of the qualitative model is determined and a quantitative model of knowledge transfer that considers heterogeneity of knowledge sender is built. Finally, simulation is achieved using Vensim software.

The factors affecting knowledge stock of enterprises are analyzed from three aspects: (1) the individual motives and capability of academic research units and enterprises; (2) the gap between academic research units and enterprises; (3) the heterogeneity of academic research units. The results show that the willingness and capability of knowledge reception by enterprises, specific knowledge transfer context such as relational distance and organization distance between academic research units and enterprises and academic research units with high knowledge stock have key influences on the knowledge stock of enterprises.

Factors affecting knowledge transfer within the alliance of innovation in mega projects and their correlations are highly complicated and difficult to determine. Despite massive investigations and interviews on many long-span bridges in China in this study, it is barely possible to directly obtain accurate data for all variables in the model. Limitations of historical data result in limitations on applications of the proposed model.

By building the mega projects knowledge transfer model and conducting simulation analysis, this paper has generated practical values for the owners of mega projects on fostering, organizing, coordinating and managing of innovations. Especially, this study provides specific strategies and suggestions on selection of innovation subjects, motivation and guaranteed efficiency of knowledge transfer and knowledge creation of academic research units and enterprises.

This study proposes a conceptual model for factors affecting knowledge transfer that applies to innovations in mega project context, which fills the gap in the research of knowledge management in mega project innovations. Additionally, combining with the method of SD, the unique role of owner in knowledge transfer of mega projects and the differences among various knowledge senders and their influences on knowledge stocks of enterprises are thoroughly considered, and the research method of modeling and simulation of knowledge transfer mechanism is supplemented and extended.

The purpose of this paper is to envisage human characteristics and resources as critical factors in the adoption process. While an individual’s intention to adopt knowledge is considered as the primary motivator in the adoption process, these characteristics, in the appropriate amount, can accelerate the recipients’ knowledge adoption behavior. In this study four personal characteristics, comprising shared language between a knowledge sender and a recipient, the recipient’s prior knowledge, the recipient’s enjoyment in adopting knowledge, and the recipient’s self-confidence have been chosen.

This research uses four human characteristics, consisting of shared language between knowledge senders and recipients, recipients’ prior knowledge, recipients’ enjoyment in knowledge adoption, and recipients’ self-confidence, to identify their optimal roles in the adoption process. Along with the intention to adopt new knowledge, each of these characteristics was tested in both forms. A survey was conducted with white collar workers. Nine models were designed and regression technique was used for analyzing data and interpreting outcomes of these models.

This study reveals that shared language between a knowledge sender and a recipient as well as a recipient’s self-confidence to adopt new knowledge directly enhances the individual’s likelihood to start learning. Shared language and self-confidence perform better as mutual predictors, while prior knowledge and enjoyment are the moderators.

The research outcome is beneficial in the designing of organizational business strategies. Shared language between an instructor and a learner increases likelihood to adopt knowledge, thus it is advantageous to arrange prerequisite mandatory courses in order to enhance a learner’s language proficiencies. Organizations can leverage their employees’ prior knowledge if it is perceived to be low. To do so, supervisors should link eagerness in learning and augmenting competencies to career advancement. Advice from, and rapport with a supervisor is essential. Effective strategies can improve the knowledge sharing goals, and in turn achieve business objectives as a whole.