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The purpose of this paper is to investigate the moderating role of the emphasis placed by individuals on scheduling of activities on the relationship between task structure and work outcomes (i.e. job satisfaction and job involvement).

Data were collected using surveys from 387 employees working in US‐based organizations. Regression analyses were used to test the hypothesized relationships.

The results of the study show that for individuals who place high emphasis on scheduling of work and non‐work activities, the negative impact of highly structured tasks was weaker than for individuals who do not emphasize scheduling of activities. The results also provide support for the hypotheses concerning the direct relationships between task structure and work outcomes.

Past research has largely ignored the role of individual differences in examining task structure. By providing empirical support for the moderating role of emphasis on scheduling on the task structure outcome relationships, this study not only paves the way for future studies but also emphasizes the importance of incorporating the role of time in examining task structure.

The purpose of this paper is to examine when auditors' decision behavior is rigid and adaptive in the going‐concern judgment. Because rigid behavior has been found to produce inappropriate outcomes, understanding when decision behavior is rigid or adaptive can lead to improved decision making.

An experiment is conducted using cases based on real companies to produce information search traces as dependent measures that are studied in the ill‐structured and structured parts of the going‐concern task.

Auditors are adaptive in ill‐structured tasks and rigid in structured tasks as predicted by theory. Evidence of flawed decision making commonly found in studies of fixation and related concepts was not found.

The findings suggest the importance of explicitly accounting for task structure when studying decision behavior in situated contexts. Future research could assess whether task structure similarly impacts behavior in non‐auditing contexts.

Researchers and practitioners have long been concerned about inappropriate rigid behavior. This paper helps practitioners better understand when rigid or adaptive behavior is likely to occur to improve decision making.

Taking a novel approach to reconcile two well established but conflicting bodies of literature by focusing on “when” not “whether” people are rigid or adaptive, this paper resolves a long‐standing paradox. The implication for the literature is that reframing the question and directly measuring behavior demonstrates that individuals are neither rigid nor adaptive, but can be both as they follow behavior that is consistent with the demands of the task when the demands are defined in terms of task structure.

Over the past few years, mathematical and computational models of organizations have attracted a great deal of interest in various fields of scientific research (see Lin & Carley, 1993 for review). The mathematical models have focused on the problem of quantifying the structural (mis)match between organizations and their tasks. The notion of structural congruence has been generalized from the problem of optimizing distributed decision-making in structured decision networks (Pete, Pattipati, Levchuk, & Kleinman, 1998) to the multi-objective optimization problem of designing optimal organizational structures to complete a mission, while minimizing a set of criteria (Levchuk, Pattipati, Curry, & Shakeri, 1996, 1997, 1998). As computational models of decision-making in organizations began to emerge (see Carley & Svoboda, 1996; Carley, 1998; Vincke, 1992), the study of social networks (SSN) continued to focus on examining a network structure and its impact on individual, group, and organizational behavior (Wellman & Berkowitz, 1988). Most models, developed under the SSN, combined formal and informal structures when representing organizations as architectures (e.g., see Levitt et al., 1994; Carley & Svoboda, 1996). In addition, a large number of measures of structure and of the individual positions within the structure have been developed (Roberts, 1979; Scott, 1981; Wasserman & Faust, 1994; Wellman, 1991).

This chapter draws on recent literature in I/O psychology, management and sociology to posit a relationship between organizational structure and temporal structure and develops the construct of layered-task time. Layered-task time is similar to polychronic time (P-time) in the inclusion of simultaneous, multiple tasks but includes additional dimensions of fragmentation, contamination and constraint. The chapter links the development of this new time and its resultant time-sense to variation in the degree to which organizations are hierarchical and centralized and develops propositions about these relationships. The chapter contributes to the growing literature on workplace temporalities in the contemporary economy.

This paper aims to examine organizational information systems based on Web 2.0 technology as socio-technical systems that involve interacting relationships among actors, structure, tasks and technology. Alignment within the relationships may facilitate increased technology use; however, gaps in alignment may impede technology use and result in poor performance or system failure. The technology examined is an organizational wiki used for collaborative knowledge management.

Results of a survey administered to employees of an organization providing cloud computing services are presented. The research model depicts the socio-technical component relationships and their influence on use of the wiki. Hierarchical latent variable modelling is used to operationalize the six main constructs. Hypotheses propose that as alignment of a relationship increases, wiki use increases. The partial least squares (PLS) method is used to examine the hypotheses.

Based on the results, increased perceptions of alignment among technology and structure increase wiki use. Further analysis indicates that low usage may be linked to gaps in alignment. Many respondents with lower usage scores also indicated “low alignment” among actor-task, actor-technology, and task-structure.

The sample size is rather small; however, results may give an indication as to the appropriateness of dimensions chosen to represent the alignment relationships. Socio-technical systems theory (STS) is often utilized in qualitative studies. This paper introduces a measurement instrument designed to evaluate STS through quantitative analysis.

User acceptance and change management continue to be important topics for both researchers and practitioners. The model proposed here provides measures that may reveal predictive indicators for increased information system use. Alternatively, practitioners may be able to utilize a diagnostic tool as presented here to assess underlying factors that may be impeding effective technology utilization.

The paper presents a diagnostic tool that may help management to better uncover misaligned relationships leading to underutilization of technology. Practical advice and guidelines are provided allowing for a plan to rectify the situation and improve technology usage and performance outcomes.

The purpose of this study is to use correlation analysis to understand how knowledge structure, task structure and collaboration affect collective knowledge (CK) by the mediating mechanism of communication.

Drawing on an existing gap in the literature related to CK, a research model with five hypotheses is proposed. The hypotheses were analyzed based on data collected from 114 work-team practitioners using structural equation modeling.

The results indicate that communication, knowledge structure, task structure and collaboration significantly contribute to CK and that communication partially mediates the impact of these constructs on CK.

The value of the current research is in its contribution to the understanding of CK formation.

In this study, the authors unpack the micro-level processes of knowledge accumulation (experiential learning) and knowledge application (problem solving) to examine how task allocation structures influence organizational learning. The authors draw on untapped potential of the classical garbage can model (GCM), and extend it to analyze how restrictions on project participation influence differentiation and integration of organizational members’ knowledge and consequently organizational efficiency in solving the diverse, changing problems from an uncertain task environment. To isolate the effects of problem or knowledge diversity and experiential learning, the authors designed three simulation experiments to identify the most efficient task allocation structure in conditions of (1) knowledge homogeneity, (2) knowledge heterogeneity, and (3) experiential learning. The authors find that free project participation is superior when the members’ knowledge and the problems they solve are homogenous. When problems and knowledge are heterogeneous, the design requirement is on matching specialists to problem types. Finally, the authors found that experiential learning creates a dynamic problem where the double duty of adapting the members’ specialization and matching the specialists to problem types is best solved by a hierarchic structure (if problems are challenging). Underlying the efficiency of the hierarchical structure is an adaptive role of specialized members in organizational learning and problem solving: their narrow but deep knowledge helps the organization to adapt the knowledge of its members while efficiently dealing with the problems at hand. This happens because highly specialized members reduce the necessary scope of knowledge and learning for other members during a certain period of time. And this makes it easier for the generalists and for the organization as a whole, to adapt to unforeseen shifts in knowledge demand because they need to learn less. From this nuanced perspective, differentiation and integration may have a complementary, rather than contradictory, relation under environmental uncertainty and problem diversity.

Decentralisation attempts that aim to increase job autonomy do not always succeed. This paper aims to study to what extent the tendency to maintain existing operational task divisions is an important explanation for this lack of success.

In total, 456 employees in 25 organisations participated in a cross-sectional intervention study. Each employee filled out a questionnaire on job autonomy both before and after the decentralisation process, in which all organisations shifted regulatory, preparatory and supportive tasks to the lowest organisational level.

This study found small, but significant, effects of decentralisation attempts on job autonomy. The size of the effects, however, depended on the way the way in which the operational tasks were divided. Simultaneously, larger effects were found for organisations which decentralised tasks and changed the way operational tasks were divided. Both findings reached the conclusion that although decentralisation attempts seemed important for increasing job autonomy, the way in which the operational tasks were divided and even changed, was at least as important for a successful decentralisation process.

After decades of research on modern sociotechnical theory, this study is the first to show that decentralisation attempts do not merely increase job autonomy. The effect of such attempts depends on the way in which operational tasks are divided in organisations.

While the Ohio State leadership approach had been forgotten for several decades, scholars in the field of leadership have begun revisiting the validity and the role of leader consideration and initiating structure. Building on self-expansion theory, this study suggest the effects of leader consideration and initiating structure on employee task performance. Also, integrating self-expansion theory and regulatory fit theory, the purpose of this paper is to propose and examine the moderating role of employee regulatory focus on the relationship between the Ohio State leadership behaviors and employee task performance, which was mediated by emloyees’ creative behavior as well as citizenship behavior.

To test the hypothesized model of this study, cross-sectional data were collected using questionnaires. Pairs of survey packages, which included group-member surveys and a group-leader survey, were handed out to employees in organizations. The authors collected data from 47 groups and 143 group members in 25 private companies in the Republic of Korea, including from financial, technology, manufacturing, and research and development organizations.

The results showed that leader consideration exerts significant effects on employee task performance. Also, the authors found the moderating role of employee regulatory promotion focus on the relationship between leader consideration/initiating structure and employee task performance, which were mediated by creative behavior and citizenship behavior.

This study contributes to the advancement of the Ohio State leadership approach by integrating self-expansion theory and regulatory fit theory to investigate the distinct mechanisms and boundary conditions of its leadership process. The current study also contributes to the literature on extra-role behavior that the Ohio State leadership behavioral dimensions can be considered as one of the antecedents of employees’ creative and citizenship behavior.