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This paper explores how management controls of a clustered apparel firm in Sri Lanka (Stitch-It) is shaped by institutional field and societal logics, firm's head office prescriptions, clusters' own attributes and strategic behavior of cluster managers.

It follows the research philosophy of interpretivism and embedded case study approach within the qualitative research design, while institutional complexity within the institutional logics perspective and paradoxical tensions, organizational attributes and strategic responses to institutional processes provide the theoretical underpinning.

The findings suggest that market, profession and state logics in the apparel field, alongside community logic at the societal level, develop a state of complexity in Stitch-It and its clusters. At the cluster level, such complexity is further intensified by head office guidelines (on controls), which gets filtered by the organizational attributes of the particular clusters. At this state, paradoxical tensions are developed within clusters, and to mitigate such tensions, key organizational members employ different strategies, which in turn shape management controls of the clusters.

This paper highlights that practicing managers need to be mindful of different logics in the field, organizational attributes, resulting tensions, complexities, strategies to deal with them and their ramifications on controls.

The paper asserts that management controls is a dynamic and a situational phenomenon, which continuously evolves in light of organizational attributes, multiple logics and head office prescriptions. It conceptualizes the “tensions” evident in the design and implementation of management controls, arising due to multiplicity of pressures as “paradoxical tensions.” Although important and relevant to management control arena, “paradoxical tensions” has been scantly explored by prior researchers.

The purpose of this article is to show the importance of joint actions and institutions for collaboration (IFCs) in the development and performance of information technology (IT) business clusters in the context of Mexico.

A review of the literature suggests the types of linkages that the clusters must develop to be successful in the context of emerging countries. Two IT clusters in the region of Puebla and Jalisco are compared to highlight the factors that differentiate successful and less successful clusters in this type of environment.

The presence of an IFC, such as the Jalisco Institute of Information Technology in Jalisco, is a determinant factor of the performance of the IT cluster there, contrary to Puebla. A model of dynamic interactions in clusters is proposed as a result of the analysis of the two cases.

Our analysis included clusters from IT industry in Mexico. It needs to be extended to more clusters, more industries and other emerging countries settings for the sake of comparison and generalization.

In the context of the relative scarcity of formal institutions in emerging country settings, the purposive collaboration of both private and public sectors in IFCs is necessary to ensure a long-standing development and performance of business clusters.

In this article, we show the specific role of institutional arrangements in cluster development and performance in emerging countries, which has seldom been investigated both theoretically and empirically.

The purpose of this paper is to investigate the latest research related to secure routing protocols in Wireless Sensor Network (WSN) and propose a new approach that can achieve a higher security level compared to the existing one. One of the main security issues in WSNs is the security of routing protocols. A typical WSN consists of a large number of small size, low-power, low-cost sensor devices. These devices are very resource-constrained and usually use cheap short-range radios to communicate with each other in an ad hoc fashion thus, achieving security in these networks is a big challenge, which is open for research.

The route updates and data messages of the protocol are authenticated using Edwards-curves Digital Signature Algorithm (EdDSA). Routing protocols play an essential role in WSNs, they ensure the delivery of the sensed data from the remote sensor nodes to back-end systems via a data sink. Routing protocols depend on route updates received from neighboring nodes to determine the best path to the sink. Manipulating these updates by inserting rouge nodes in the network that advertise false updates can lead to a catastrophic impact on the compromised WSN performance.

As a result, a new secure energy-aware routing protocol (SEARP) is proposed, which uses security enhanced clustering algorithm and EdDSA to authenticate route advertisements and messages. A secure clustering algorithm is also used as part of the proposed protocol to conserve energy, prolong network lifetime and counteract wormhole attacks.

In this paper, a SEARP is proposed to address network layer security attacks in WSNs. A secure clustering algorithm is also used as part of the proposed protocol to conserve energy, prolong network lifetime and counteract wormhole attacks. A simulation has been carried out using Sensoria Simulator and the performance evaluation has been discussed.

The idea of business clusters is used more and more in public policy as businesses and governments are noticing their advantages. The purpose of this study was to determine if a business cluster would be possible in an energy sector of Albany, New York, since energy is so diverse.

The method utilized for this research was a case study approach, whereby data were accumulated through first hand knowledge in a particular study done on a potential cluster in Albany, New York. The aim of the literature review was to decipher which elements would be necessary to develop a cluster.

The findings concluded that the basic elements of a cluster consist of: geography, the role of government, entrepreneurship, SME's, trust, cooperation and networking. All are necessary for a cluster to succeed. The researcher documented the birth of the cluster by attending several meetings and a trade show. Interviews were conducted with the leaders who were involved in the cluster, which included government, educational and business officials. The results concluded that most of the elements were present in the Albany area to develop a cluster, and therefore the cluster could be possible.

Clusters can take years before they are successful, and this study was not nearly long enough to determine this. Further research will be needed to determine if the cluster could be fully operational.

This study is valuable because it offers a model for future clusters to follow. It is original in nature as there have never been any studies done on this particular topic; especially in an energy sector of Albany, New York. It also serves as foundational and historical evidence for future research.

This paper aims to explore the nature of Industry 4.0 (I4.0) cluster, to establish and empirically verify in the pilot study the role of clusters in developing the fourth industrial revolution. It aims to find out if the cluster can provide a conducive knowledge environment fostering the advancement of I4.0; simplify the implementation of I4.0 by making it faster, easier, and cheaper and finally be applied as policy tool organising the development of I4.0.

This paper is based on the narrative literature review mapping the cluster’s nature with I4.0 features. It adopts the case study approach and uses simple statistical analysis to explore the basic characteristics of I4.0 clusters combined with a survey technique – short questionnaire organised in three major blocks.

Drawing on German pilot study it can be confirmed that clusters offer conducive environment facilitating the emergence, testing and development of I4.0 specific solutions. They provide favourable knowledge environment, simplify and increase the efficiency of the business processes and organise the policymaking in this area.

The results of presented pilot study rooted in Germany – a country seen as the front-runner in implementing the solutions of the fourth industrial revolution – can add a certain value to the emerging research on unearthed linkages between clusters and I4.0. This paper might be seen as a contribution to the emerging literature on the spatial dimension of I4.0. It expands previous research on cluster channels’ likely impact on I4.0.

The organization of companies’ information technology (IT) functions has been studied and described in three ways: on a centralization‐decentralization continuum, on the basis of technological architecture, and, for multinational companies, as reflective of their strategic focus. This research proposes a classification of organizational structures based on the tension between business units and IT departments in the delivery of IT services. Using a cluster analysis on a sample of 40 companies having corporate offices in the USA or The Netherlands, it identifies four basic structures or patterns that describe the similarities and differences in the way IT services are handled. The paper then describes the implications of these structures for companies that are considering the redesign or restructure of their information technology function.

The purpose of this paper is to describe a support system to the selection of enrichment activities in educational environment called RunayaySoft, where Runayay comes from the word Quechua that means develop and Soft as it is an informatics tool that supports the educational institutions and their students, in the selection of activities that allow foster some of their skills based on their interests, learning styles, aptitudes, multiple intelligences, preferences and so on. Moreover, it suggests institutions about the activities that they should make in their building considering student´s characteristics and the agreements that they have.

It does a diagnostic for identifying which characteristics are going to be considered to students and institutions. Then, it generates adaptive profiles with the aim of generating suggestions of enrichment activities that allow to boost some of their skills. For the students were considered their preferences, learning style, aptitude, multiple intelligences and interests. In the case of institutions were the agreements, resources and activities that they develop. Based on this information, it defines the relations for the generation of suggestions of activities toward students, where it does the prioritization of which activities should be considered.

For validating the system, it was done as a functional prototype that generates suggestions to students, as well as educative institutions, through a satisfaction test student assess if they agree or disagree with the suggestions given. With that assessment, it is validated the relationship between student’s characteristics, activity and institution are related for generating activities suggestions.

RunayaySoft generates adaptive profiles for the students, activity and institution. Each profile has information that allows adapt an advice toward students and institutions.

RunayaySoft considers student’s characteristics, activities and educational institutions for generating suggestions for enrichment activities that allow to boost some of their skills. Many times, when activities are generated in educative institutions, they are not considered a learner’s needs and characteristics. For that reason, the system helps institutions to identify activities that should be done in their facilities or with those institutions which they have agreements when the institutions that students come from do not have the required resources.

RunayaySoft suggests enrichment activities to students as well as educative institutions. For students, it suggests disciplinary areas where they can boost their skills; for each disciplinary area are recommended activities based on their preferences. Once students select the disciplinary area and activities, the system suggests educative institutions activities that they can do. If the institutions do not have the necessary facilities, the system shows with which other institutions they can set agreements. Moreover, it supports educative institutions to identify enrichment clusters, where it clusters students based on similar interest, allowing institutions to identify the activities that they should focus on.

The purpose of this paper is to investigate the significant supply chain issues in the small and medium-sized enterprise (SME) food industry. The objectives are to identify the major themes and the dynamic evolution of SME food supply chain (FSC) issues, the current research trends, the different modelling approaches used in SME FSC, and the most addressed SME food sector.

In all, 3,733 published articles from 2002 to 2018 in the Clarivate Analytics Web of Science database were collected, from which 1,091 articles were shortlisted for the review. The authors used bibliographic coupling combined with co-word analysis to identify the historical relations of the research themes that emerged during the periods 2002–2014 and 2002–2018.

This research identified five major research themes such as production and distribution in alternative food networks, relationship, safety and standards in the FSC, greenhouse gas (GHG) emission impact of the farm food system, traceability and product quality in FSC and asymmetric price transmission in the FSC. Among the identified themes, GHG emission impact of the farm food system and traceability and product quality in the FSC have received increasing attention in recent years. The dairy sector is the most addressed sector (36 per cent), followed by fruits and vegetables (27 per cent), meat and poultry (18 per cent), seafood (10 per cent) and grains and oilseed (8 per cent). It is also identified that the dairy sector has received significant attention in the “GHG Emission impact of farm food system” theme. Similarly, meat and poultry sectors have received much attention in the “Traceability and product quality in the food supply chain” theme. Also, the authors identified that the empirical modelling approaches are the most commonly used solution methodology, followed by the conceptual/qualitative methods in the SME FSC.

This study maps and summarizes the existing knowledge base of supply chain issues in the SME food sector. The results of this review provide the major research areas, most commonly used approaches and food sectors addressed. This study also highlights the research gaps and potential future research direction.

The purpose of this paper is to propose parallelization of a successful sequential ant‐based clustering algorithm (SABCA) to increase time performance.

A SABCA is parallelized through the chosen parallelization library MPI. Parallelization is performed in two stages. In the first stage, data to be clustered are divided among processors. After the sequential ant‐based approach running on each processor clusters the data assigned to it, the resulting clusters are merged in the second stage. The merging is also performed through the same ant‐based technique. The experimental analysis focuses on whether the implemented parallel ant‐based clustering method leads to a better time performance than its fully sequential version or not. Since the aim of this paper is to speedup the time consuming, but otherwise successful, ant‐based clustering method, no extra steps are taken to improve the clustering solution. Tests are executed using 2 and 4 processors on selected sample datasets. Results are analyzed through commonly used cluster validity indices and parallelization performance metrices.

As a result of the experiments, it is seen that the proposed algorithm performs better based on time measurements and parallelization performance metrices; as expected, it does not improve the clustering quality based on the cluster validity indices. Furthermore, the communication cost is very small compared to other ant‐based clustering parallelization techniques proposed so far.

The use of MPI for the parallelization step has been very effective. Also, the proposed parallelization technique is quite successful in increasing time performance; however, as a future study, improvements to clustering quality can be made in the final step where the partially clustered data are merged.

The results in literature show that ant‐based clustering techniques are successful; however, their high‐time complexity prohibit their effective use in practical applications. Through this low‐communication‐cost parallelization technique, this limitation may be overcome.

A new parallelization approach to ant‐based clustering is proposed. The proposed approach does not decrease clustering performance while it increases time performance. Also, another major contribution of this paper is the fact that the communication costs required for parallelization is lower than the previously proposed parallel ant‐based techniques.

This study aims to further develop the CLC stage/path’s identification model that distinguishes between path’s emergence (emergence stage), path’s development (growth stage), path’s sustainment (maturity stage), path’s decline (decline stage) and path’s transformation (renewal stage), and by applying it, define the current stage/path of the Demarcated Douro Region (DDR) cluster. The Port wine industry, which is the dominant industry of the DDR cluster, is at the maturity/decline stage – is the same for the cluster itself?

It is a case study with a longitudinal perspective based on the analysis of the dynamics of the parameters of cluster evolution using available secondary sources (cluster identity/brand; number of firms; number of employees; network; innovation; policies and regulations; and external markets – exports), especially addressing the past decade, that represent the stage of maturity/decline of the cluster’s dominant Port wine industry.

The conclusion is that since the 1990s the Demarcated Douro Region has gone through a “path transformation” where during the following 20 years new “anchors” for the cluster were gradually introduced, such as Doc Douro Wines, new forms of consumption of Port wine, tourism and olive oil. Since 2010 the cluster has entered a growth stage/(new) path’s development, where these “anchors” are in steady growth. The Douro brand is becoming more internationally recognized and established, the number of firms and employees is increasing, the network is restructuring with the creation of cluster-specific official institutions, innovation is especially reflected with increasing heterogeneity through diversification of the clusters into new activities and regulations and policies are supportive for expansion – all these parameters are indicating the rise of the new cycle for the cluster. Thus, the DDR cluster represents an attractive business environment and requires attention from regional policymakers to support the cluster’s development. Especially institutions have been highlighted as internal factors driving clusters growth, European integration as an external factor and firms’ strategies of diversification and internationalization as an appropriate de-locking mechanism for new path’s development.

This research contributes to the CLC theory by further developing and applying a CLC stage/path identification model. It provides a better understanding of the dynamics of the DDR cluster that diverge from its dominant industry life cycle, which is relevant for regional policies and firms’ strategies. This study has its limitations. It provides an exploratory application of the theoretical framework proposed, and consequently, no general conclusions are possible yet. More empirical studies with different clusters in different stages are necessary to test the framework.

These findings are useful to policymakers when designing their policies for cluster development but also for clusters’ entities and actors when making their strategic decisions as it allows based on the verification of the established parameter of CLC to identify its current stage/path of development.

The paper presents a theoretically grounded model for CLC identification and for the first time to the best of the authors’ knowledge applies it to a cluster case – the DDR cluster. This case applies the proposed model and illustrates its usefulness. The model provides the tools for a better understanding of cluster dynamics.