Search results

Based on an exploratory case-based approach, the purpose of this paper is to open the KM black box and examine the relationships that link knowledge management (KM) inputs (i.e. knowledge resources and KM practices) via knowledge processes to KM performance. This paper aims to identify the underlying mechanisms and explain how KM performance is enabled.

This in-depth case study conducted at a medium-sized consultancy in the supply chain management industry empirically examines knowledge flows to uncover the relationships between KM inputs, knowledge processes and KM performance. We adopt the viable system model (VSM) as a theoretical lens to identify KM mechanisms.

By identifying six KM mechanisms, we contribute to the theoretical understanding of how KM inputs are interconnected and lead to KM performance via knowledge processes.

Based on the insights gained, we provide propositions that organizations should consider in designing viable KM. Our findings help organizations in understanding their KM with the help of knowledge flow analysis and identifying how critical KM elements are interconnected.

This study aims to investigate the effects of open innovation (OI) and big data analytics (BDA) on reflective knowledge exchange (RKE) within the context of complex collaborative networks. Specifically, it considers the relationships between sourcing knowledge from an external environment, transferring knowledge to an external environment and adopting solutions that are useful to appropriate returns from innovation.

This study analyzes the connection between the number of patent applications and the amount of OI, as well as the association between the number of patent applications and the use of BDA. Data from firms in the 27 European Union countries were retrieved from the Eurostat database for the period 2014–2019 and were investigated using an ordinary least squares regression analysis.

Because of its twofold lens based on both knowledge management and OI, this study sheds light on OI collaboration modes and highlights the crucial role they could play in innovation. In particular, the results suggest that OI collaboration modes have a strong effect on innovation performance, stimulating the search for RKE.

This study furthers a deeper understanding of RKE, which is shown to be an important mechanism that incentivizes firms to increase their efforts in the innovation process. Further, RKE supports firms in taking full advantage of the innovative knowledge they generate within their inter-organizational network.

This study aims to focus on providing a computerized classification testing (CCT) system that can easily be embedded as a self-assessment feature into the existing legacy environment of a higher education institution, empowering students with self-assessments to monitor their learning progress and following strict data protection regulations. The purpose of this study is to investigate the use of two different versions (without dashboard vs with dashboard) of the CCT system during the course of a semester; to examine changes in the intended use and perceived usefulness of two different versions (without dashboard vs with dashboard) of the CCT system; and to compare the self-reported confidence levels of two different versions (without dashboard vs with dashboard) of the CCT system.

A total of N = 194 students from a higher education institution in the area of economic and business education participated in the study. The participants were provided access to the CCT system as an opportunity to self-assess their domain knowledge in five areas throughout the semester. An algorithm was implemented to classify learners into master and nonmaster. A total of nine metrics were implemented for classifying the performance of learners. Instruments for collecting co-variates included the study interest questionnaire (Cronbach’s a = 0. 90), the achievement motivation inventory (Cronbach’s a = 0. 94), measures focusing on perceived usefulness and demographic data.

The findings indicate that the students used the CCT system intensively throughout the semester. Students in a cohort with a dashboard available interacted more with the CCT system than students in a cohort without a dashboard. Further, findings showed that students with a dashboard available reported significantly higher confidence levels in the CCT system than participants without a dashboard.

The design of digitally supported learning environments requires valid formative (self-)assessment data to better support the current needs of the learner. While the findings of the current study are limited concerning one study cohort and a limited number of self-assessment areas, the CCT system is being further developed for seamless integration of self-assessment and related feedback to further reveal unforeseen opportunities for future student cohorts.

In this paper, the authors describe the step-by-step approach used to develop a trust-repair construct and a valid measurement scale for assessing employee perceptions of the most effective employee trust-repair practices.

The initial employee trust-repair scale (ETRS) was completed by 282 employees of a non-profit organization and validated by 101 employees of the administrative unit of the Finnish Army.

The 14-item seven-factor model was found to be reliable, valid and stable across the samples.

This study contributes to the current literature on trust repair by presenting the first validated measure for employee trust repair.

The findings provide a valuable instrument for practitioners to assess the state of employee trust-repair practices.

To the best of the authors’ knowledge, this is the first study in an organizational context demonstrating an operationally valid and comprehensive measure for employee trust-repair practices.

This study examines the relationship between trust, organizational climate and team learning among project team members (PTM). In recent years, many companies have come to recognize the important role team learning plays in achieving competitive advantage.

Data were collected through a survey questionnaire, and responses from 86 PTM provide support for the research model and demonstrate that how organizational climate mediates the relationship between trust and team learning.

The structural equation analysis of the data collected from 86 project team members indicate that both vertical and horizontal trust influences organizational climate, which, in turn, is a determinant of team learning. In addition, although both types of trust contributed to organizational climate, the results indicated that horizontal trust had a greater influence on organizational climate and team learning.

The study employed the survey method and is not without limitations. The first limitation concerns our sample size, which was selected from one global company. Second, the survey data were all collected at a single point in time. Therefore, the authors cannot unambiguously infer causality. To attempt to do so, it would be useful to investigate the model in the context of organizational and development change. Despite these limitations, the results of the study have implications for theory and practice.

The implication for theory is that the results provide empirical support for the view that organization climates mediate the relationship between trust and team learning. On the practical side, the organizations should also pay more attention to increasing trust at the work place, especially among PTM that may contribute to favorable organizational climate, which is vital for team learning.

This paper addresses the simultaneous role of vertical and horizontal trust on organizational climate and how it contributes to team learning. The results indicate that organizations emphasis on horizontal trust can plays a vital role in team learning, which is a contribution to enhancing teamwork and performance in organizations.

This study focuses on leadership in organizations where big data analytics (BDA) is an essential component of corporate strategy. While leadership researchers have conducted promising studies in the field of digital transformation, the impact of BDA on leadership is still unexplored.

This study is based on semi-structured interviews with 33 organizational leaders and subject-matter experts from various industries. Using a grounded theory approach, a framework is provided for the emergent field of BDA in leadership research.

The authors present a conceptual model comprising foundational competencies and higher order roles that are data analytical skills, data self-efficacy, problem spotter, influencer, knowledge facilitator, visionary and team leader.

This study focuses on BDA competency research emerging as an intersection between leadership research and information systems research. The authors encourage a longitudinal study to validate the findings.

The authors provide a competency framework for organizational leaders. It serves as a guideline for leaders to best support the BDA initiatives of the organization. The competency framework can support recruiting, selection and leader promotion.

This study provides a novel BDA leadership competency framework with a unique combination of competencies and higher order roles.

Critical infrastructures (CIs) for essential services such as water supply and electricity delivery are notoriously vulnerable to disruptions. While extant literature offers important insights into the resilience of CIs following large-scale disasters, our understanding of CI resilience to the more typical disruptions that affect CIs on a day-to-day basis remains limited. The present study investigates how the interorganizational (supply) network that uses and manages the CI can mitigate the adverse consequences of day-to-day disruptions.

Longitudinal archival data on 277 day-to-day disruptions within the Dutch national railway CI were collected and analyzed using generalized estimating equations.

The empirical results largely support the study’s predictions that day-to-day disruptions have greater adverse effects if they co-occur or are relatively unprecedented. The findings further show that the involved interorganizational network can enhance CI resilience to these disruptions, in particular, by increasing the overall level of cross-boundary information exchange between organizations inside the network.

This study helps managers to make well-informed choices regarding the target and intensity of their cross-boundary information-exchange efforts when dealing with day-to-day disruptions affecting their CI. The findings illustrate the importance of targeting cross-boundary information exchange at the complete interorganizational network responsible for the CI and to increase the intensity of such efforts when CI disruptions co-occur and/or are unprecedented.

This study contributes to our academic understanding of how network-level processes (i.e. cross-boundary information exchange) can be managed to ensure interorganizational (supply) networks’ resilience to day-to-day disruptions in a CI context. Subsequent research may draw from the conceptual framework advanced in the present study for examining additional supply network-level processes that can influence the effectiveness of entire supply networks. As such, the present research may assist scholars to move beyond a simple dyadic context and toward examining complete supply networks

Risks can easily disrupt the demand–supply match targeted by sales and operations planning (S&OP). As surprisingly little is known of how organizations identify, assess, treat and monitor risks through tactical planning processes, this paper zooms in on the S&OP set-up and process parameters to explore how risks are managed through S&OP.

A multiple case study analyzes the S&OP processes of seven organizations in the process industry, drawing on 17 in-depth interviews with high-ranking representatives, internal and external documents, and a group meeting with participating organizations.

The study finds that organizations proactively design their S&OP based on their main risk focus stemming from the planning environment. In turn, such designs proactively support organizations' risk identification, assessment, treatment and monitoring through their S&OP execution. Reactively, a crisis S&OP meeting – making use of the structure of S&OP – can be used as a risk-treatment tool, and S&OP design can be temporarily adapted to deal with emerging risks.

This study is among the first to empirically elucidate risk management through S&OP. S&OP design, execution and adaption are identified as three interconnected strategies that allow organizations to manage risks. The design enables risk management activities in the monthly execution of S&OP. The reactive role of S&OP in risk management is particularly novel.

This study proposes a model of the effect of financial and non-financial performance measures on nonprofit organizations’ (NPOs’) effectiveness where internal stakeholders' trust play an intervening role in the aforementioned relationships.

Data were collected from 218 employees working at the largest Palestinian NPOs. The perceptions of these employees were used to measure the variables, and structural equation modeling was used to examine the hypotheses.

Results suggest that the use of financial and non-financial performance measures was positively related to NPOs' effectiveness. Internal stakeholders' trust showed a significant mediating effect between the use of performance measures and NPOs' effectiveness.

This study may be of value for NPOs' managers due to the positive effects performance measurement (PM) can have on NPO effectiveness. Managers and boards should seek to enhance their internal stakeholders' trust to achieve higher levels of effectiveness.

This study has three main contributions. First, it is one of the very few papers which empirically examines the links between PM and NPOs' effectiveness, rather than providing conceptual lens. Second, the paper investigates the role of stakeholders' trust as a mediating mechanism in the proposed model, a topic that has been neglected by NPOs governance researchers. Finally, the study uses data from the Palestinian context, contributing to the PM literature by providing evidence on the relationship between performance measures and NPOs' effectiveness from a non-Western context.

This study aims to investigate the influence of budgeting design characteristics on perceived budgeting usefulness, based on the enabling-coercive framework.

This paper develops a survey in one large publicly-listed Brazilian company that operates in the electric utility industry. The sample comprises 75 middle managers from different areas of this organization. This study uses structural equation modeling as the data analysis method.

The results indicate that internal and global transparencies determine middle managers’ perceptions of budgeting usefulness, while no relationship was found for repair capacity and flexibility characteristics. This paper shows that managers, when provided with global and internal transparencies and independently of their level discretion regarding target revisions or the reallocation of resources, perceive budgeting systems as being useful for decision-facilitating and decision-influencing roles.

The findings might be relevant for budgeting professionals to review or design the budgeting system in terms of dribbling potential flaws and increasing its use in the organization.

The study explores the multidimensionality of the enabling-coercive budgeting design construct. This study provides a theoretical contribution to the literature by showing that budget alignment, integration, learning and information sharing are relevant such that an organization could improve the assertiveness using budgeting systems. Besides, this paper provides an opposing view about the supposed relation between flexible budgeting design and budgeting usefulness. Frequently, some management directions are offered by the literature and no guarantee is provided in terms of the connection between the adoption and the usefulness of those mechanisms. Therefore, the findings shed more light on the practical developments in budgeting.