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This paper aims to examine how collaborative supplier development (SD) activities, supplier capabilities and buyer–supplier relationship interrelate in technology-based, luxury product business contexts characterized by small volumes, difficult targets and resource constraints relative to those targets.

Using inductive case research method, the authors investigate multiple embedded cases involving six dyadic buyer–supplier relationships of two luxury product manufacturers in the motorcycle and automotive industries. Each dyad represents an important sub-system for which the buying firm committed significant SD efforts to help the supplier successfully achieve difficult targets.

The analysis reveals how paradoxical tensions might emerge as the firms engage in successful SD activities, which could lead to decreasing relationship commitment ultimately resulting in the termination of the relationship. The authors utilize the “value co-creation and value capture” paradox framework to understand the SD and relationship dynamic and characterize it as developing-leveraging paradox to explain its dualities, i.e. commitment-based SD efforts (increasing value co-creation), and unilateral leveraging of the newly acquired capabilities (increasing value capture) by both the buyer and the supplier. Overemphasis on value capture by one of the exchange partners spurs a detrimental vicious cycle leading to the decline of the relationship.

The study explains the paradoxical dynamics that may emerge in SD activities of innovative, technologically complex, luxury product firms. The findings contribute to the SD literature by highlighting how learnings from SD activities could contribute to the dark sides of buyer–supplier relationship. The technologically complex, luxury product contextual characteristics of the study may limit the generalizability of the study findings.

The study provides novel insights into the emergence and management of paradoxes in buyer–supplier relationships, in terms of virtuous and vicious dynamics of developing-leveraging.

This study applies and extends goal concepts by exploring the roles of goal intention and implementation planning in explaining how consumers minimize food waste (FW). It consists of impulsiveness in a food domain and food waste-related habit strength as obstacles in this motivational process.

Survey data from 399 Vietnamese consumers and structural equation modeling are used to test the proposed model.

The results establish a causal mechanism from goal intention to food waste reduction behavior via implementation planning. It also highlights mechanisms in which impulsiveness leads to a weak goal intention and careless implementation planning, consolidates FW-related habit strength and makes consumers fail to achieve food waste reduction (FWR) goals.

Future studies would benefit by investigating FWR behavior in different contexts based on the theory of trying or model of goal-directed behavior with the other traits, such as self-esteem or environmental values.

Businesses should design smaller eating portions to limit consumer impulsiveness in buying food. Food policymakers should educate consumers to form and maintain implementation planning, provide them with useful tools to deal with food habits or stimulate ethical motives to reduce FW.

This study extends goal concepts by exploring different routes, highlighting the competing roles of impulsiveness and habit strength compared with goal intention on FWR behavior.

Organizational culture (OC) is not only a key factor in the development of organizational performance but also an important source of employee orientation toward a better understanding of organizational goals. This study aims to analyze the influence of two individual factors on OC: (1) the competencies of employees and (2) perceived leadership behavior. The study also focuses on how the relationship between individual factors and OC differs between public and private organizations.

In this study, data were collected through a survey, and a structural equation modeling approach, partial least squares structural equation modeling, was used to highlight the proposed direct, mediated and moderated relationships. The sample comprises 1,284 respondents, representing both public and private sector organizations.

Based on the results, the employees' competencies positively and significantly influence the hierarchical and market orientation of OC. Additionally, the perceived leadership behavior positively and significantly influences the adoption of all four types of cultural characteristics (i.e. clan, adhocracy, market and hierarchy).

The results are of great benefit to organizations who may become more aware that employees' skills and how employees perceive leadership behavior can significantly influence OC.

These findings make an important contribution to understanding how the characteristics of each type of OC can be influenced by certain behaviors, skills and perceptions and how those relationships may be shaped by the organization's ownership.

The unique dynamics of family firms (FFs) shape the management of financial crises. Religious and secular reasons, as a defining characteristic of this type of firm, provide a reference system for key management decisions. This paper aims to explore the under-researched topic of differences in FFs' crisis management between religious and secular family decision-makers (FDMs), considering secularization in developed countries.

The paper draws on a qualitative-empirical study of 14 large FFs from the DACH region (Germany, Austria and Switzerland), through both a media analysis and semi-structured interviews with FDMs who have significant influence on key management decisions.

Despite secularization, religion continues to influence managerial decisions such as crisis management in the DACH region. The findings show that crisis management differs across religious and secular FDMs, demonstrating the substantial impact of religious and secular reasons on operational and financial measures. Thus, religious and secular reasons may partially explain the complex and ambivalent crisis management of FFs. This indicates that religion shapes FF's key management decisions in the increasingly secularized DACH region. Religious FDMs are accountable to both the firm and to God, which fosters their own personal and financial resources during crisis management.

This paper contributes to the existing literature by exploring the impact of religion and secularization within developed countries. Further, it offers deeper insights into FF's crisis management and is one of the first studies to assess the impact of religion and secularization on operational and financial measures. This research derives five propositions for further research and discusses a broad range of original implications for theory and practice.

The e-commerce boom presents new challenges for last-mile delivery (LMD), which may be mitigated by new delivery technologies. This paper evaluates the impact of mobile parcel lockers (MPL) on costs and CO₂ equivalent (CO₂e) emissions in existing LMD networks, which include home delivery and shipments to stationary parcel lockers.

To describe customers’ preferences, we design a multinomial logit model based on recipients’ travel distance to pick-up locations and availability at home. Based on route cost estimation, we define the operating costs for MPLs. We devise a mathematical model with binary decision variables to optimize the location of MPLs.

Our study demonstrates that integrating MPLs leads to additional cost savings of 8.7% and extra CO₂e emissions savings of up to 5.4%. Our analysis of several regional clusters suggests that MPLs yield benefits in highly populous cities but may result in additional emissions in more rural areas where recipients drive longer distances to pick-ups.

This paper designs a suitable operating model for MPLs and demonstrates environmental and economic savings. Moreover, it adds recipients’ availability at home to receive parcels improving the accuracy of stochastic demand. In addition, MPLs are evaluated in the context of several regional clusters ranging from large cities to rural areas. Thus, we provide managerial guidance to logistics service providers how and where to deploy MPLs.

With production systems become more digitized, data-driven maintenance decisions can improve the performance of production systems. While manufacturers are introducing predictive maintenance and maintenance reporting to increase maintenance operation efficiency, operational data may also be used to improve maintenance management. Research on the value of data-driven decision support to foster increased internal integration of maintenance with related functions is less explored. This paper explores the potential for further development of solutions for cross-functional responsibilities that maintenance shares with production and logistics through data-driven approaches.

Fifteen maintenance experts were interviewed in semi-structured interviews. The interview questions were derived based on topics identified through a structured literature analysis of 126 papers.

The main findings show that data-driven decision-making can support maintenance, asset, production and material planning to coordinate and collaborate on cross-functional responsibilities. While solutions for maintenance planning and scheduling have been explored for various operational conditions, collaborative solutions for maintenance, production and logistics offer the potential for further development. Enablers for data-driven collaboration are the internal synchronization and central definition of goals, harmonization of information systems and information visualization for decision-making.

This paper outlines future research directions for data-driven decision-making in maintenance management as well as the practical requirements for implementation.

This article aims to investigate the financial constraints and nonlinearity of farm size growth.

Farm size growth is measured with land, labor and output using data from the Farm Accountancy Data Network (FADN) for Hungary and Slovenia. A dynamic panel model is applied to assess financial constraints and nonlinearity of farm size growth.

Results show that, except for land in Slovenia and output in Hungary, liquidity constraints are less important for farm size growth than endogenous factors based on farm size growth expectations and steady farm size restructuring. Smaller farms are growing faster than larger ones. The hypothesis that a higher level of subsidies would increase farm size is not supported for Hungary. When farms reach a certain size, the land area of the largest farms increases. Farm debts in Hungary are linked with land growth and in Slovenia with output growth.

Further research on the impact of liquidity constraints and subsidies can be conducted at a disaggregate farm-type level to examine whether there is variability in the underlying interlinkages at the farm-type specialization level.

The implication that farm size growth is dependent on initial size and that smaller farms are growing faster than bigger ones indicates that it is not necessary to favor the fastest growing smaller farms thus supports the application of a non-discriminatory farm size policy for observing farm size structural changes.

The dynamic panel econometric model that incorporates cash flow as a measure of financial constraints provides insight into farm size growth in cross-country comparison in relation to potential farm liquidity constraints, farm debt and the nonlinearity of farm size, which information is of relevance to policy makers and practitioners.

Previous research has identified associations between quality management and employee health. This study's purpose was to (1) examine those associations in a public healthcare organisation and (2) explore and describe the association between digitalisation and employee health.

An online questionnaire including indices to measure quality management values, employee health and digitalisation was answered by 118 managers in Swedish public healthcare. Correlation analysis was used to analyse the data. Based on the survey results, 12 qualitative, in-depth interviews were conducted with healthcare managers.

The findings show that employee health is associated with quality management and digitalisation. Categories were defined to describe the managers' views of the relationship between digitalisation and health.

Causality was not explicitly tested and cannot be assumed. However, the results strengthen the body of research showing that quality management is related to employee health, and associations between health and digitalisation were identified.

The findings and model should be helpful for healthcare managers in a digitalising environment who aim to preserve or enhance employee health whilst ensuring high service quality.

The results were used to create an integrated conceptual model depicting the association between quality, digitalisation and health. This association has not previously been studied.

This paper brings together the literature on theories of complexity adaptive systems (CAS), develops an analytical framework, applies this framework to the development of tourism destinations and critically reflects on the use of this perspective.

This paper elaborates on a CAS perspective on destination development, to further develop complexity thinking in tourism studies. This approach enables to identify policy avenues geared towards improving destination governance and contributing to sustainable tourism development.

Theories of CAS offer an analytical lens to better understand destination development, drawing explicit attention to (1) the levels of the individual, (emergent) structures, the structure-agency interface and the system level, (2) the steps related to the process of adaptation that is critical for systems to survive and thrive in times of change and (3) the undervalued importance of considering the factor of time.

Applying CAS theories help to address a range of (policy) avenues to improve destination governance, contributing to a shift in focus from reactively fixing problems to proactively addressing the structural issue of adaptive capacity building. It shows that managing tourism destination as complex systems involves a set of conditions that are critical as well as difficult to meet in tourism practice.

The paper intends to show why farms as we know them today may soon be a thing of the past and that organisational behaviour research has an important contribution to make in assisting the upcoming transformation.

Two strains of literature are reviewed and then synthesised: the literature on robots replacing humans in agricultural production and the literature on vertical integration that shifts decisions to agribusiness. Then the potential contribution of organisational behaviour research is outlined.

It is shown how the farm is likely to lose both roles for which their geographic entity is important: making decisions and carrying out production. This requires contributions from organisational behaviour research in the realms of decision designs and social systems.

It can be anticipated that the most profitable strategy for farmland owners in the future will be collaboration with contractors. Farms as organisations, are increasingly losing their importance. This not only has grave social implications for farmworkers and landowners but also for scholars in organisational behaviour research.

The paper challenges an organisational unit that is so familiar to us that it is rarely questioned.