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The COVID-19 pandemic has amplified the importance of effectively leading a remote workforce in volatile, uncertain, complex and ambiguous (VUCA) environments. This study examines the effectiveness of transformational–transactional leadership (Full-Range Leadership Model, FRLM) and its recent extension of instrumental leadership (eFRLM) in remote work contexts.

We surveyed 529 remote working followers, providing perceptions on (1) their leaders’ manifestation of eFRLM dimensions and factors, (2) their leaders’ leadership effectiveness and (3) their organizational environment as VUCA.

Results show that instrumental leadership represents a strongly effective leadership dimension in remote work contexts, explaining unique variance beyond transformational–transactional leadership. Moreover, VUCA environments moderated the association between eFRLM leadership behaviors and leadership effectiveness, with instrumental leadership being particularly effective in more pronounced VUCA environments and transformational–transactional leadership being less effective.

Overall, instrumental leadership appears crucial to consider when predicting leadership effectiveness in virtual and uncertain contexts.

The purpose of this paper is to provide insightful evidence of phenomena in organization and management theory. Textual data sets consist of two different elements, namely qualitative and quantitative aspects. Researchers often combine methods to harness both aspects. However, they frequently do this in a comparative, convergent, or sequential way.

The paper illustrates and discusses a hybrid textual data analysis approach employing the qualitative software application GABEK-WinRelan in a case study of an Austrian retail bank.

The paper argues that a hybrid analysis method, fully intertwining qualitative and quantitative analysis simultaneously on the same textual data set, can deliver new insight into more facets of a data set.

A hybrid approach is not a universally applicable solution to approaching research and management problems. Rather, this paper aims at triggering and intensifying scientific discussion about stronger integration of qualitative and quantitative data and analysis methods in management research.

Although birth-preparation classes are the most important institution for parents-to-be, they have largely been disregarded in sociological research. This empirical study aims to examine the role birth-preparation classes in Germany play in the extensive gendering during the transition to parenthood. We combine ethnography of birth-preparation classes with a content analysis of text material offered by professional associations of midwives. This empirical investigation aims to show that today’s birth-preparation classes highlight differences between men and women as well as between women without children and mothers, interconnect them with gendered attributions of child care and labor and legitimize these differences through naturalization. Thus, birth-preparation classes introduce a gendered distribution of labor as early as the antenatal phase and thereby function as institutions promoting a process of regendering and retraditionalization.

Farmers often decide simultaneously on crop production or input use without knowing other farmers' decisions. Anticipating the behavior of other farmers can increase financial performance. This paper investigates the role of other famers' behaviors and other contextual factors in farmers' simultaneous production decisions.

Market entry games are a common method for investigating simultaneous production decisions. However, so far they have been conducted with abstract tasks and by untrained subjects. The authors extend market entry games by using three real contexts: pesticide use, animal welfare and wheat production, in an incentivized framed field experiment with 323 German farmers.

The authors find that farmers take different decisions under identical incentive structures for the three contexts. While context plays a major role in their decisions, their expectations about the behavior of other farmers have little influence on their decision.

The paper offers new insights into the decision-making behavior of farmers. A better understanding of how farmers anticipate the behavior of other farmers in their production decisions can improve both the performance of individual farms and the allocational efficiency of agricultural and food markets.

People’s tendency to overestimate their ability to control random events, known as illusion of control, can affect financial decisions under uncertainty. This study developed an artifactual field experiment on illusion of control for a farm machinery investment.

In an experiment with two treatments, the individual farmer was either given or not given a sense of control over a random outcome. After each decision, the authors elicited perceived control, and a questionnaire collected additional indirect measures of illusion of control from 78 German farmers and 10 farm advisors.

The results did not support preregistered hypotheses of the presence of illusion of control. This null result was robust over multiple outcomes and model specifications. The findings demonstrate that cognitive biases may be small and difficult to replicate.

The sample is not representative for the German farming population. The authors discuss why the estimated treatment effect may represent a lower bound of the true effect.

Illusion of control is well-studied in laboratory settings, but little is known about the extent to which farmers’ behavior is influenced by illusion of control.

Mega events are nowadays seen as an important source to generate primary income and to overcome seasonality in tourism destinations. Special events therefore became one of the fastest growing types of tourism attractions. On the other hand, they are known to potentially have a disruptive impact on the ecosystem, the society and also the local and regional economy if organised without careful attention to basic principles of sustainability. The example of the Ski World Championship 2003 in St.Moritz/Switzerland is used to illustrate an integrative sustainability monitoring concept which was used in practice and gained international attention.

While strategy was traditionally perceived as exclusive, and limited to small groups within organizations, recently a shift toward greater openness through inclusion of a larger number and variety of actors is emerging. The purpose of this paper is to adopt a social network perspective to develop a theoretical framework on how this increased openness has a varying impact in the different phases of the strategy process.

The author suggests that the strategy process is shaped through social interactions between individuals. Specifically the author conceptualizes how introducing openness affects individuals’ structural and relational characteristics, which impact generating new strategic ideas (variation), and selecting (selection), and integrating them into the existing set of routines (retention).

The framework shows that benefits and costs of increased openness balance differently. While substantial benefits may be realized in the idea generation phase, costs may outweigh the benefits in the selection and retention phase.

Based on the framework, implications can be drawn on how openness should be introduced in the different phases of the strategy process. Specifically the author discusses appropriate open strategy tools based on social technologies, which organizations can use to benefit from openness in the different stages.

Open strategy is a newly emerging phenomenon, which seems to fundamentally change the strategist’s work. More open, inclusive ways of strategizing offer new benefits but also create costs in the strategy process. This paper deepens the theoretical understanding of the consequences of openness in the strategy process.

The benefits of meaning in the workplace are abundant. However, few opportunities exist to increase meaning among employees in ways that result in desired organizational impacts. The current study developed two new mindfulness-based interventions designed to ultimately increase both job and life satisfaction.

Over five days, 67 participants either: (1) Reported their daily activities, (2) Additionally rated the meaningfulness of each hour, or (3) Additionally planned to increase the meaning of the least meaningful activities. At the beginning and end of the week, they also reported their job satisfaction and life satisfaction.

Results suggested that listing daily activities and rating the meaningfulness of each hour was most beneficial. Compared to only listing daily activities, this group experienced greater job and life satisfaction. In contrast, the group that additionally attempted to increase the meaningfulness of their daily activities did not perform better on either of these measures.

Spending only a few minutes focusing on recognizing the meaning in one's daily activities can improve one's job and life satisfaction. As such, organizations may consider encouraging engagement in such a task either at the end of the workday or at home. Doing so may result in an increase in both how satisfied they are at home and at work.

This provides initial evidence for a short intervention that may greatly increase the well-being of employees at work and home.

In recent years, there has been a growing interest in the potential of data analytics to enhance project delivery. Yet many argue that its application in projects is still lagging behind other disciplines. This paper aims to provide a review of the current use of data analytics in project delivery encompassing both academic research and practice to accelerate current understanding and use this to formulate questions and goals for future research.

We propose to achieve the research aim through the creation of a systematic review of the status of data analytics in project delivery. Fusing the methodology of integrative literature review with a recently established practice to include both white and grey literature amounts to an approach tailored to the state of the domain. It serves to delineate a research agenda informed by current developments in both academic research and industrial practice.

The literature review reveals a dearth of work in both academic research and practice relating to data analytics in project delivery and characterises this situation as having “more gap than knowledge.” Some work does exist in the application of machine learning to predicting project delivery though this is restricted to disparate, single context studies that do not reach extendible findings on algorithm selection or key predictive characteristics. Grey literature addresses the potential benefits of data analytics in project delivery but in a manner reliant on “thought-experiments” and devoid of empirical examples.

Based on the review we articulate a research agenda to create knowledge fundamental to the effective use of data analytics in project delivery. This is structured around the functional framework devised by this investigation and highlights both organisational and data analytic challenges. Specifically, we express this structure in the form of an “onion-skin” model for conceptual structuring of data analytics in projects. We conclude with a discussion about if and how today’s project studies research community can respond to the totality of these challenges. This paper provides a blueprint for a bridge connecting data analytics and project management.

This paper aims to describe what baby boomer family business owners in New Zealand perceive the implications of earthquakes on their business and succession planning. The current study focuses on how some businesses have survived significant uncontrollable contingencies, for instance, natural disasters. This paper also documents the insight of what baby boomer family business owners value in their succession planning.

Qualitative method was undertaken, comprising face-to-face in-depth interviews with 18 participants, who are baby boomers family business owners in New Zealand.

Driven by the unique social and political conditions in New Zealand, baby boomer family business owner’s revealed unique mind-sets and motivations that are oriented in their family value and/or the sense of self-fulfillment. As a result, they are able to adapt to uncertainties and reflect on their adaptability. Although approaching their retirement age and survived earthquakes, most interviewees neither have any urgency to establish or execute succession plans nor are they prepared for contingencies. A profitable trade sale has been identified as a preferred exit strategy.

The current study is aimed to fill in the gap of exploring how some baby boomers’ family businesses in New Zealand survived deadly earthquakes and how they approach their own succession planning.

It is hoped that this research will contribute to the well-being of family businesses and be of value to practitioners who provide professional advises for family firms and those who aspire to a career in family businesses. This paper also aims to shed light on the implication of aging population and government policies on family businesses. The findings are, therefore, useful for academics, professional consultants, advisors and regulators.

However, natural disasters, social unrest and many uncontrollable events disrupt business operations and can be viewed as uncontrollable contingencies. Ageing population and generation-based similarities are also common to many countries and communities. Nonetheless, the interdisciplinary research on ageing population is scant in the context of financial planning, management accounting or taxation at the firm level. This paper also calls for more in-depth exploration on the implications of demographical factors on the organisations and their success or demise.