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Agile methods have proven successful in increasing customer satisfaction and decreasing time and cost to market under uncertain conditions. Key characteristics of agile methods are lean, flexibility and highly iterative development with a strong emphasis on stakeholder involvement. Today construction firms in general and small to medium‐sized enterprises (SMEs) in particular are surviving in a drastic competitive environment in which they are facing more and more challenges. Additional innovation is needed in the construction sector, with increased participation from more competitive SMEs. The main purpose of this paper is to present a model to prioritize available management systems to help SMEs address the challenge of today's market competition more effectively.

The research methodology used is that of interpretative case study and grounded theory based on a strong empirical foundation, on which new theoretical insight into knowledge management as an autonomous action is developed. The paper looks at ways by which SMEs are managed, based on the empirical data collected from 12 case studies. It presents the empirical findings drawn from the case studies. Finally, the adoption of agile methods is subjectively assessed as to its potential contribution for improving the business processes of small and medium construction firms.

It is assessed that agile methods offers considerable potential for application in construction SMEs and that there are significant hurdles to its adoption in the actual phase. Should these be overcome, agile methods offers benefits well beyond any individual company.

Construction firms need to be aware of the advantages of new management paradigms and practices. The analysis shows that SMEs in the construction sector have to internalize agile values into their business processes to reap the benefits of agile methods. It also reveals that existing practices show some kind of agile flavours.

Agile principles and methods are explored, including: philosophy, values, practices and benefits. The management approaches used by construction SMEs are analyzed and discussed. The paper presents recommendations and insights for enhancing the performance and efficiency of SMEs by adopting agile values in their business processes.

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.

This paper seeks to describe the application of the Agile software development approach to rapidly develop and deploy a variety of innovative IT applications.

The Agile approach is flexible and iterative with continuous feedback and constant communication. It is also marked by frequent and short delivery schedules. An Agile team of staff and students was formed for different projects, and visual tools were used to show process and progress. Team members were also co‐located (situated in the same space), a key element that allowed faster and direct communication. Within the Agile framework, the Crystal Clear methodology was selected, which is based on team size and criticality of the application to develop the workflow and iterative processes.

The Agile approach is particularly suited to innovation development and creative teams for rapid development of products, services, and technology. However, its acceptance is dependent on organizational culture and nature of application.

As a next step, it would be useful to test the Agile approach in an innovative application that is on a larger scale than six team members and with a different level of criticality.

Flexibility and adaptability are needed in managing the development of IT innovations and applications as they vary in size and complexity. The flexible and iterative Agile approach provided the framework to develop and implement these projects despite the small staff size.

There is little in the professional literature on software development and project management approaches for small teams. The Agile approach would be of interest to an IT unit or library with limited staff resources and interested in a lightweight framework to develop and deploy innovative projects.

In times of market volatility and uncertainty, finding effective strategies to attract and retain individuals continues to be a challenge for organizations. Based on the psychological empowerment process (Spreitzer, 1996), this paper strives to examine if the application of agile project management could serve as such a strategy.

In two independent studies, the authors used an experiment with students as potential applicants (N = 121) and a field study with employees (N = 229) to test the predictive quality of agile project management for attracting individuals toward the organization.

Using structural equation modeling, the authors identified an indirect relationship between agile project management and attraction toward the organization via psychological empowerment. The authors found this relationship for potential applicants as well as employees. Furthermore, individuals high in sensation seeking are found to be more attracted toward organizations that apply agile project management than individuals low in sensation seeking.

The findings contribute to the empowerment literature by establishing agile project management as a work structure that fosters feelings of psychological empowerment.

Taken together, these results suggest that agile project management can attract individuals who seek novel, complex and intense sensations. Where applicable, organizations may highlight their practice of agile project management methodologies as part of their employer brand to attract future specialists for agile projects.

This paper is the first to integrate the research streams on agile project management and attraction toward the organization using quantitative data.

To provide a primer on the major project management protocols and examples of how these protocols have been used to manage library projects.

The chapter presents a broad review of the literature on project management in general, and as it has been applied in library settings, including brief histories of each major methodology, its development, component elements, and examples of its use in libraries.

Many of the major project management protocols, such as Six Sigma, Agile, Lean, Scrum, and Waterfall, have been used successfully in library settings across a broad range of areas and project types.

As libraries continue to innovate and expand their services, the management of complex projects and processes has become commonplace. This chapter will serve as a primer on the major project management protocols, highlighting the ways in which they can be used in libraries, and to which types of library projects they have been successfully applied.

Rapid changes in the business environment and the accelerating dynamics and increasing complexity shaping the functioning of organizations have given rise to modern concepts of people management. The Management 3.0 (M3.0) concept was developed based on agile project management concept; however, it can be implemented not only in projects, but also in the entire organization. It consists of six pillars such as: energizing people, empowering teams, aligning constraints, developing competencies, growing structure, and improving everything. The paper aims to present the relationships between the level of implementation of the above-presented pillars and such variables as the scope of use of agile project management methodologies, and project managers' (PMs) as well as HR practitioners' knowledge in this area.

Members of PMI and IPMA representing 34 companies located in Poland took part in the research which was based on a CAWI method.

Research shows that the level of M3.0 implementation – in terms of its six pillars – is internally consistent but mostly on a “defined” level. No correlation was observed between the implementation of M3.0 and the frequency with which agile project management methodology is applied. On the other hand, there is a strong correlation between the level of PMs' knowledge and the implementation of some of the M3.0 pillars. HR specialists' knowledge in the field of M3.0 is not associated with organizational advances in the implementation of M3.0.

As the first research project in the area of M3.0, this study proposes practical implications as well as topics which require further empirical exploration.

Agile manufacturing (AM) has evolved as a revolutionary way of manufacturing the products while managing the uncertainties, product introduction time, responsiveness, innovation, superior quality, etc. along the supply chain to satisfy the ever increasing customer demand and to maximize the profit. The purpose of this paper is to critically analyze the literature related to various dimensions of AM and to report the findings.

This paper presents the reviews of 300 scholarly articles from 1993 to 2016 by various researchers and practitioners on AM collected from different sources, i.e. Google Scholar and ResearchGate. The information related to AM is also captured during industrial visits to different Indian manufacturing plants.

AM definitions are reported along divergent scopes and objectives in the literature. The researchers have given importance on performance measurement and process analysis through empirical and descriptive analysis whereas its implementation issues are neglected. It is also observed that the effort made on AM is significant for manufacturing industries which is overlooked in service industries.

This literature review has identified many research gaps in AM which were not paid attention before. Researchers can address these research gaps for strengthening the AM implementation.

In total, 300 research papers are reviewed and analyzed to capture the various aspects of AM and its related issues but not restricted to research methodologies, author profiles, types of industries, tools/techniques/methodology used, etc.

An evolutionary transformation of business environment, with change as a main characteristic, is taking place. Manufacturing companies, even those operating in relatively stable conditions with good market positions, are facing rapid and often unanticipated changes in their business environment. Agile manufacturing is proposed in response to the circumstances as a solution and is perceived as a vital characteristic that manufacturing companies need to have in order to maintain their competitive advantages in the new order of world business. Each company will respond in a specific and different way to the changing circumstances by deploying its own agile characteristics. Agility in manufacturing may be achieved through the implementation and integration of appropriate practices which provide the required abilities for a company to respond properly to changes. Based on this concept, a methodology for achieving agility in manufacturing organisations is developed. The methodology is applied in two manufacturing companies and data collected from the applications are used to validate the methodology. This paper provides a brief summary of the methodology and details its implementation and validation in the two case study companies. Practices are proposed to support the achievement of agility in the two organisations.

This paper aims to propose a new approach for determining a decoupling point in leagile chain, based on Lean and agile criteria regarding market and customer demands and internal capabilities of the chain with the ultimate goal of fulfilling customer needs and increasing chain profit.

In the new approach, Lean and agile criteria have been defined for assessing the effectiveness and efficiency of supply chain. The efficiency and effectiveness ratios have been calculated for Lean and agile processes using input- and output-oriented Banker, Charnes and Cooper (BCC) methods, respectively. Based on the results, inefficient and ineffective units have been addressed and the decoupling point has been determined.

Findings indicate that the decoupling point can be regarded as a borderline between two strategies of Lean and agile production, and fuzzy decoupling point and lean–agile distance can provide the basis for distinguishing the two strategies.

Determining the decoupling point has an important role in dynamic performance of a supply chain. By the proposed approach, managers can estimate the most probable area for the decoupling point. Moreover, by appropriate determination of decoupling point, an organization can increase its public responsibility by appropriate usage of its resources and responding faster to customers’ requirements.

In this study, in addition to determining a decoupling point in a supply chain with the aim of increasing productivity, the subject of leagile strategy of supply chains has been developed.

The purpose of this paper is to illustrate how knowledge takes effect in different software development methodologies by relating them to different knowledge cycles.

The results were find by conducing a general review about the topics of knowledge cycles and software development methodologies.

All software development methodologies have knowledge cycles. In Waterfall methodology, the cycle followed is I-Space. For “code and fix,” there is a parallel with March’s cycle. Scrum shows a parallel with SECI cycle. Among the methodological options, results show there an increase in hierarchy, documentation, processes and explicit knowledge.

Identified parallels of each methodology with knowledge cycles; established which Scrum artifacts are performed at each stage of SECI, which Waterfall steps correspond to I-Space phases and which activities in “code and fix” deal with exploration and exploitation of knowledge; and features shown increase or decrease according to the adoption of each methodology.

Results help knowledge sharing implementations and foster inter-team knowledge sharing, with the identification of the correct methodology-cycle match and the personalization of the strategy for each team based on the adopted methodology. Training for knowledge initiatives can be improved by determining how knowledge-sharing activities are incorporated on the determined series of actions established by the methodologies adopted on the firm.

The identification of how knowledge is generated and shared among teams in each methodology, the optimum pairing of the methodology and the parallels with the other, and the differences that emerge from the adopted knowledge cycle show that software projects are embedded in a knowledge cycle.