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Resources allocated to software maintenance constitutes a major portion of the total life cycle cost of a system. The enormous effect that this can have on an organization's ability to react to dynamic environments has been the primary motivation for researchers to study issues related to software maintenance. The purpose of this paper is to take stock of the research conducted in this area in order to identify the intellectual trails embodied in the coherent body of knowledge on software maintenance.

An author co‐citation analysis (ACA) involving authors who have made seminal contributions to the field of software maintenance was performed. The data for the study were obtained from the Science Citation Index (SCI) and the Social Sciences Citation Index (SSCI).

The results indicate that most of the software maintenance research has focused on eight areas: Program logic characteristics, Quality of processes/metrics, Effort and productivity issues, Cognitive issues in repair maintenance, Organizational Issues: Strategies for software evolution/maintenance, Object‐oriented (OO) maintenance, Domain specific language issues and Program construction and design. Research limitations/implications – Some of the limitations of this study include: exclusion of data after 2003, giving equal weight for all citations, and implicit assumption that a relationship exists between the citing and cited documents.

The extension of software maintenance research in the areas suggested in this study may lead to new innovations for practice.

The paper not only introduces new methods for meta analysis, it also suggests that opportunities abound for extending the frontiers of software maintenance research, particularly in the context of contemporary software development approaches.

This paper discusses various facets of quality of service (QOS), a technology that allows network managers to prioritize data to optimize bandwidth use and maintain data quality. Given the wide variety and high volume of data as well as bandwidth limitations on networks today, QOS has gained great importance in recent years. Successful implementation of QOS requires selecting from the wide array of models and algorithms available and careful consideration of other technical and organizational issues. Different QOS models and algorithms have been discussed to provide the network manager with an insight into these technologies that can aid in the selection of QOS models and algorithms. Various technical and organizational implementation issues, including how QOS is implemented in routers, have been discussed to assist the network manager to be aware of these issues and properly implement QOS.

This paper presents a framework for analyzing e‐commerce security. The framework is developed by analyzing the relationships between e‐commerce security needs, threats, technologies and tools. Organizations can use the framework to evaluate and select security for e‐commerce.

The Resource‐Based View of the Firm (RBV) has become an important stream of literature in strategic management. RDV's main prescription is that strategic assets are crucial determinants of sustainable competitive advantage and thus firm performance. Unfortunately, little empirical research has been occasioned to substantiate that prescription. Part of the difficulty in empirically testing RBV's main prescription lies in identifying resources capable of being strategic assets. This article combines RBV logic, the definition of strategic assets, Hall's studies, and the logic embodied in several streams of management literature to explain why strategic assets are intangible in nature, to show that not all intangible resources are strategic assets, and to demonstrate that company reputation, product reputation, employee knowhow, and organizational culture possess the characteristics of strategic assets. That is the foundation for the proposed hypotheses and proposed conceptual model presented in this paper for testing RBV's main prescription. We also discuss the practical, theoretical and empirical implications of this paper and make suggestions regarding empirical testing.

Additive manufacturing (AM) is one technology among the many under the umbrella of Industry 4.0 technologies. AM is developing rapidly, and extant research reveals that the technology contains possibilities for firms to develop competitive advantages, but that it also poses several challenges to overcome before such benefits can be achieved. To provide further insight into this topic, this paper aims to analyse how a business association can disseminate knowledge and experience about AM to its members.

The paper is based on 13 interviews from 11 different organisations within an embedded single-case study of a Danish non-profit business association.

The paper identifies 12 motivational factors for joining the association as well as seven perceived challenges in the current setup of the association. The paper demonstrates that barriers to the use of AM can be reduced through participation in a business association.

The paper is based on a single-case study design and does not provide a foundation for statistical generalisations. The challenges identified are biased towards the companies that are members and do not represent companies that either consciously or unconsciously are not part of the association.

Being aware of the barriers for AM is important to optimize the benefits of joining a business association. However, operating such an association with the purpose of disseminating AM knowledge involves the inherent dilemma of protecting knowledge for the individual members, and at the same time, fostering knowledge sharing.

The paper provides novel data on how a business association can help mitigate perceived barriers to using AM.

In the recent years, the industries show interest in natural and synthetic fibre-reinforced hybrid composites due to weight reduction and environmental reasons. The purpose of this experimental study is to investigate the properties of the hybrid composites fabricated by using carbon, untreated and alkaline-treated hemp fibres.

The composites were tested for strengths under tensile, flexural, impact and shear loadings, and the water absorption characteristics were also observed. The finite element analysis (FEA) was carried out to analyse the elastic behaviour of the composites and predict the strength by using ANSYS 15.0.

From the experimental results, it is observed that the hybrid composites can withstand the maximum tensile strength of 61.4 MPa, flexural strength of 122.4 MPa, impact strength of 4.2 J/mm² and shear strength of 25.5 MPa. From the FEA results, it is found that the maximum stress during tensile, flexural and impact loading is 47.5, 2.1 and 1.03 MPa, respectively.

The results of the untreated and alkaline-treated hemp-carbon fibre composites were compared and found that the alkaline-treated composites perform better in terms of mechanical properties. Then, the ANSYS-predicted values were compared with the experimental results, and it was found that there is a high correlation occurs between the untreated and alkali-treated hemp-carbon fibre composites. The internal structure of the broken surfaces of the composite samples was analysed using a scanning electron microscopy (SEM) analysis.

This paper bridges the gap between the theory and practice by developing a life cycle sustainability tracker (LCST). The study is seeking to proffer solutions to an observed shortcoming of conventional life cycle sustainability assessment (LCSA) communication platforms. Notably, the static nature of the information provided on such platforms has made it difficult for them to be used for real-time decision-making and predictions. The main aim of this paper is to develop a LCST that facilitates a dynamic visualisation of life cycle sustainability results and allows for an integrated benchmark across the dimensions of sustainability.

The study leverages the model development capabilities of the design science research strategy in accomplishing a dynamic and novel communication platform. A life cycle thinking methodology and appropriate multicriteria decision approach (MCDA) is applied to accomplish a comprehensive, streamlined and replicable approach in mapping and tracking the progress of sustainable development goals (SDGs) in the National Infrastructure Pipeline (NIP) projects in India.

It was found that: (1) The use of the LCST tracker provides a dynamic and holistic insight into the key LCSA indicators with clearly defined benchmarks to assess the impact on the SDG 11, (2) The NIP projects achieve an upward trend across all the regions, and the percentage of opportunities ranges from 11 to 24%, with the South experiencing the highest growth and the North having the minimal increase in percentage and (3) The assessment score (52–58%) provides performance metrics that align well with the LCST – which ranges between “Fair” and “Average” for all the regions in India.

The novelty of this research is that the LCST provides a transparent and harmonised approach to reporting on the LCSA results. The LCST utilises heat maps and radial mapping to achieve an intuitive display of large amounts of highly heterogeneous data, thus allowing the synthesis of large sets of information compactly and with coherence. Progress towards the SDGs change on a yearly basis; hence, a dynamic LCSA tool provides a timely and the valuable context to map and track performance across different regions and contexts.

The purpose of this paper is to develop a framework for the application of evidence-based management to chronic disease healthcare.

Chronic healthcare is specially characterized by recursive patient-physician interactions in which evidence-based medicine (EBM) is applied. However, implementing evidence-based solutions to improve healthcare quality requires managers to effect changes in many different areas: organizational structure, procedures, technology and in physician/provider behaviors. To complicate matters further, they must achieve these changes using the tools of resource allocation or incentives. The literature contains many systematic reviews evaluating the question of physician and patient behavior under various types and structures of incentives. Similarly, systematic reviews have also been done regarding specific changes to the healthcare process and their effectiveness in improving patient outcomes. Yet, these reviews uniformly lament a lack of appropriate data from well-organized studies on the question of “Why?” solutions may work in one instance while not in another. The authors present a new theoretical framework that aids in answering this question.

This paper presents a new theoretical framework (Influence Model of Chronic Healthcare) that identifies: the critical areas in which managers can effect changes that improve patient outcomes; the influence these areas can have on each other, as well as on patient and physician behavior; and the mechanisms by which these influences are exerted. For each, the authors draw upon, and present the evidence in the literature. Ultimately, the authors recognize that this is a complex question that has not yet been fully researched. The contribution of this model is twofold: first, the authors hope to focus future research efforts, and second, provide a useful heuristic to managers who must make decisions with only the lesser-quality evidence the literature contains today.

This model can be used by managers as a heuristic either ex ante or ex post to determine the effectiveness of their decisions and strategies in improving healthcare quality. In addition, it can be used to analyze why actions or decisions taken achieved a given outcome, and how best to proceed to effect further improvements on patient outcomes. Last, the model serves to focus attention on specific questions for further research.

The purpose of this paper is to develop a reliable and valid understanding of entrepreneurship and examine the relationships between small and medium‐sized Chinese manufacturing enterprises, the intensity of their entrepreneurial orientation and the degree of their internationalization. In addition, it examines whether entrepreneurial orientation would affect enterprises' internationalization strategies and their success.

The seven‐step procedure for scale development is used and survey data have been utilized to conduct statistical analysis.

The paper finds that entrepreneurial orientation is positively related to the degree of internationalization, particularly amongst the small and medium‐sized Chinese manufacturing enterprises. The international experiences of enterprises have significant importance and positively affect the degree of their internationalization. In addition, the degree of their success depends greatly on their attitudes towards risk taking, their ability to diversify internationally and successfully compete with those already established in the market.

A lot of studies have been conducted on entrepreneurship and entrepreneurial orientation. However, few people have ever studied the relation between the degree of entrepreneurial orientation and internationalization. Empirical studies on the correlations between entrepreneurial orientation and firm performance are not abundant in China. Furthermore, very few researches on the correlations between entrepreneurial orientation and internationalization have been conducted. The research presented in this paper is intended to bridge this gap. Through empirical analyses of their relationships, this paper shows how entrepreneurial strategies can stimulate competitive advantages and drive forward the international developments of the Chinese enterprises, particularly the small and medium‐sized.