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Agile principles have been widely used in software development team practice since the creation of the Agile Manifesto. Studies have examined variables related to agile principles without systematically considering the relationships among key team, agile methodology, and process variables underlying the agile principles and how these variables jointly influence the achievement of software development agility. In this study, the authors tested a team/methodology–process–agility model that links team variables (team autonomy and team competence) and methodological variable (iterative development) to process variables (communication and collaborative decision-making), which are in turn linked to software development agility (ability to sense, respond and learn).

Survey data from one hundred and sixty software development professionals were analyzed using structural equation modeling methods.

The results support the team/methodology–process–agility model. Process variables (communication and collaborative decision-making) mediated the effects of team (autonomy and competence) and methodological (iterative development) variables on software development agility. In addition, team, methodology and process variables had different effects on the three dimensions of software development agility.

The results contribute to the literature on organizational IT management by establishing a team/methodology–process–agility model that can serve as a basis for developing a core theoretical foundation underlying agile principles and practices. The results also have practical implications for organizations in understanding and managing holistically the different roles that agile methodological, team and process factors play in achieving software development agility.

Agile software development helps software producing organizations to respond to manifold challenges. While prior research focused on agility as a project or process phenomenon, the authors suggest that agility is an emergent phenomenon on the team level. The paper aims to discuss this issue.

Using the theory of complex adaptive systems (CASs), the study captures the multiple influencing levels of software development teams (SDTs) and their interplay with self-organization and emergence. The authors investigate three agile SDTs in different contextual environments that participate with four or more different roles each.

The results suggest self-organization as a central process when understanding team agility. While contextual factors often provide restriction on self-organization, they can help the team to enhance its autonomy.

The theoretical contributions result from the development and test of theory grounded propositions and the investigation of mature agile development teams.

The findings help practitioners to improve the cost-effectiveness ratio of their team’s operations.

The study provides empirical evidence for the emergence of team agility in agile SDTs. Using the lens of CAS, the study suggests the importance of the team’s autonomy.

To facilitate innovative software development, more and more software development teams (SDTs) turn to agile methods. Such agile methods develop both extensive and efficient software responses to a client’s requirement change. However, the antecedents of successful agile software development are poorly understood. The authors goal is to propose a model of how power asymmetry and paradoxical leadership interact and affect agility in SDTs, which in turn affect their capacity to innovate. By leveraging insights from research on individuals’ cognition, the authors argue that developers with relatively higher power evaluate their contributions to their teams more ambivalently, which increases their delay or postponement of their contributions to their teams’ tasks. As a result, power asymmetry is negatively related to software teams’ response extensiveness and efficiency. Second, and drawing on leadership studies on behavioral complexity, the authors consider the moderating role of paradoxical leadership that a team receives as an important moderating factor to this effect. The authors argue that, when team leaders exhibit paradoxical leadership behaviors, high-power individuals’ ambivalence is less likely to emerge; hence, transforming power asymmetry to an asset for the enhancement of agility in the SDT.

Organizations are fast adopting new technologies such as automation, analytics and artificial intelligence, collectively called intelligent automation, to drive digital transformation. When adopting intelligent automation, there is a need to understand the success factors of these new technologies and adapt agile software development (ASD) practices to meet customer expectations. The purpose of this paper is to explore the success factors of intelligent automation and create a framework for managers and practitioners to meet dynamic business demands. Total interpretive structural modeling (TISM) framework is a suitable approach to integrate quantitative measurement with qualitative semi-structured interviews capturing the context of the individual organization environment.

This paper identified agility factors and their interrelationships using a TISM framework. TISM results were validated using a one-tailed t-test to confirm the interrelationships between factors. Furthermore, the agility index of a case project organization was assessed using a graph-theoretic approach (GTA) to identify both the triggering factors for agility success and improvement proposals.

Results showed that leadership vision, organization structure and program methodology were driving factors. The TISM model was validated statistically and the agility index of the intelligent automation case project organization was calculated to be79.5%. Here, a GTA was applied and the triggering factors for improvement of the agility index were identified.

The limitations of the study are described along with the opportunities for future research as the field evolves through the rapid innovation of technology and products.

The increasing role of digital transformation in enterprise strategy and operations requires practitioners to understand how ASD practices must be planned, measured and/or improved over time through the implementation of automation, analytics and artificial intelligence programs. The TISM digraph provides a framework of hierarchical structure to organize the influencing factors, which assists in achieving organizational goals. This study highlights the driving factors which contribute to the success of intelligent automation projects and project organizations.

This is a first attempt to analyze the interrelationships among agility factors in intelligent automation projects (IAP) using TISM and the assessment of the agility index of a case IAP organization using a GTA.

While agile methods have been adapted to different industries, agility depends on the alignment between the practices and project environment. Nevertheless, it is unlikely to find the best combination without a diagnosis of these variables. This paper proposes a project management agility diagnostic tool (PM/ADT), aimed at diagnosing the project environment, management practices and agility performance to find the right balance between them.

The tool was developed by combining multiple techniques during a three-year research program, including an extensive systematic literature review, exploratory case studies, a survey and three case studies involving 25 projects from information and communications technology, software development and technology-based companies.

The results indicate potential discrepancies between environmental factors, management practices and agility performance that affect project management in organizations, allowing the diagnosis and analysis of the situation for the development of better management solutions.

The study reinforces the hypothesis that it may not be possible to adopt pure agile models or methods in most projects, except in specific cases, as with some projects in the software industry. This is in line with the hybrid models. However, further testing is needed with a larger sample of projects and organizations.

The tool can be useful to assess different types of projects from different industry sectors to improve the management process, allowing the development of agility beyond the software industry.

The article discusses agility beyond measurement, assessing the most appropriate environment for using practices from one approach or another.

The paper seeks to explore the impact of events in Software Process Improvement (SPI) environments based on a longitudinal study of a requirements management initiative at Ericsson.

The paper presents the initiative from three perspectives – the improvement initiative, the targeted software practices, and the environment.

SPI initiatives easily get interrupted, are side‐tracked, and progress slowly due to changing environments. While most practitioners are painfully aware of this, the SPI literature has so far only touched on the issue. Agility principles would have helped Ericsson respond more effectively to events that impacted the initiative. Development of agile SPI practices requires coordination and alignment with other initiatives to develop agile software organizations.

SPI has been adopted by many organizations to help them to deliver quality software. However, its success is a matter of debate and this paper deals with the issues involved.

The purpose of this paper is to develop a framework to manage the strategy to counter disruptive innovation by identifying stronger attributes and key strategic areas for improvements in an engineering services context with less freedom to orchestrate product innovation. The authors also validate the combined use of multi-grade fuzzy, Importance-Performance Analysis (IPA) and gap analysis in developing the strategy to mitigate turbulence.

The paper presents a framework using a combination of Dynamic Capabilities and Organizational Agility to develop the strategy. The study uses data gathered from a 60-member engineering project team working on an Aircraft Engine Controller design to identify 50 attributes and the related importance and performance ratings. The research study is designed using a three-tier approach. First, multi-grade fuzzy is utilized to measure the overall firm response agility index. In the second step, the IPA is used to analyze the strength and weaknesses of the firm and to identify the attributes where the firm needs to focus. In the past step, gap analysis is used to prioritize the identified attributes. The findings are validated by panel discussions with a different group of experts from the project team and action points were arrived at.

This research work finds that the firms’ response agility index of 6.97 is comparable to that of the Original Equipment Manufacturers (OEMs) from previous literature, but still needs a better agility score to effectively counter turbulence from disruptive innovations. It also identifies seven key areas for improvement and their relative priority to effectively improve the response agility by utilizing the least number of resources, the reasons for the gap and the mitigation strategy to close the gap. The findings highlight a few key differences between an engineering services firm in comparison to OEMs and Software Services firms.

The findings help the practitioners with a comparative agility score of an engineering services firm, and an effective way of measuring agility, identify key focus areas and prioritize the actions using a simple set of data that could be collected regularly to keep track of the improvements. The provided strategic framework to improve the agility score can be used for continuous improvement.

This paper contributes to the existing literature by developing a framework for outsourcing services companies to cope with the turbulence by using dynamic capabilities and organizational agility. It also adds to the literature by extending the validity of IPA and gap analysis in making strategic decisions in an industrial set-up.

This study examines the collaborative impact of networking capability and balanced agile project management (APM) on firm performance through the mediating role of market orientation and business process agility of medium and large telecommunication technology providers in Indonesia.

Research data were collected from the executive management of telecommunication technology providers in Indonesia via a questionnaire survey to obtain 150 valid questionnaires for analysis. This study analyzed the overall model fit and causal relationship using confirmatory factor analysis (CFA) and structural equation modeling (SEM).

The results indicate that market orientation fully mediates the link between networking capability-business process agility and balanced APM-business process agility. Furthermore, business process agility mediates the relationship between market orientation and firm performance.

This study is based on a cross-sectional nature and might fail to capture the dynamic of the studied variables over an extended period.

The study extends the knowledge that dynamic capabilities, represented by networking capability and balanced APM, must be framed by market orientation to create customer value and improve bargaining position. However, market orientation alone is not enough in a highly dynamic business environment. Organization also requires business process agility, responsiveness and adaptability to timely address customers' needs and requirements.

This study aims to examine the joint impact of networking capability and agile project management on organizational agility of telecommunication technology providers' in Indonesia. The study also examines the moderating role of market orientation as a predominant strategic orientation on the relationship between agile project management and organizational agility.

Research data were collected via a questionnaire survey from the executive management of telecommunication technology providers in Indonesia to obtain 150 valid questionnaires for analysis. This study analyzed the overall model fit and causal relationship using confirmatory factor analysis and structural equation modeling.

The results indicate that networking capability positively affects organizational agility. However, agile project management's significant effect on organizational agility occurs only when the relationship is moderated by market orientation. The results of the study also demonstrate that organizational agility positively affects organizational performance.

This study is based on a cross-sectional nature and might fail to capture the studied variables' dynamic over an extended period.

The study enriches the previous literature in organizational agility by presenting the collective impact of networking capability and agile project management and the moderating role of market orientation. However, dissimilar with major prior studies, the results indicate that agile project management's direct effect on organizational agility is not significant. Agile project management needs to be moderated by market orientation to create exceptional customer values and overcome the competition for the organization to achieve organizational agility, responsiveness and adaptability to address customers' needs and requirements. Furthermore, the study's result corroborates the importance of organizational agility to achieve organizational performance in the highly dynamic telecommunication industry.

Process-oriented organizations are compelled to be innovative and continuously implement changes to meet customer requirements and gain a competitive advantage in accordance with the business process management approach. In the digital age, organizations develop business process support systems using agile methods and introduce adaptation skills in order to support their core business. Seamlessly integrating both practices into a coherent and practically applicable solution supporting multi-scenario processes infallibly remains a challenge. The paper aims to discuss these issues.

The workshops identifying the key issues in an international capital group that consolidates facility management companies, as well as a related research review, have fueled a two-cycled Canonical Action Research (CAR) study.

The paper extends the current understanding of IT-enabled agility, proposing an adaptively improved infrastructure with a catalog of digital options that facilitates the composition of multi-scenario business processes.

The CAR was limited to the members of management board and the managers constituting the focus groups. The agile business process management (ABPM) model proposed focuses on adding novel functionalities/building new processes, leaving functionality lifecycle out-of-scope. ABPM empirical validation is limited to a single business/technical case.

Real-life solution for supporting dynamic business processes was delivered, as rigid IT solutions do not support quick assembly of customized business processes with abundant number of scenarios. The infrastructure enables composition of customer-tailored services based on re-usable digital options directory as well as enhances business process discrepancies/software bugs detection, reducing the cost of maintaining IT infrastructure for entire customer portfolio. A number of issues resulting from building IT solutions within a series of isolated projects with no coherent overall development strategy are mitigated.

The ABPM acts as a reference model for focusing on developing critical functionalities and limiting resources consumed by redundant features.