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11 – 20 of 395Fatemeh Yazdani, Mehdi Khashei and Seyed Reza Hejazi
This paper aims to detect the most profitable, i.e. optimal turning points (TPs), from the history of time series using a binary integer programming (BIP) model. TPs prediction…
Abstract
Purpose
This paper aims to detect the most profitable, i.e. optimal turning points (TPs), from the history of time series using a binary integer programming (BIP) model. TPs prediction problem is one of the most popular yet challenging topics in financial planning. Predicting profitable TPs results in earning profit by offering the opportunity to buy at low and selling at high. TPs detected from the history of time series will be used as the prediction model’s input. According to the literature, the predicted TPs’ profitability depends on the detected TPs’ profitability. Therefore, research for improving the profitability of detection methods has been never given up. Nevertheless, to the best of our knowledge, none of the existing methods can detect the optimal TPs.
Design/methodology/approach
The objective function of our model maximizes the profit of adopting all the trading strategies. The decision variables represent whether or not to detect the breakpoints as TPs. The assumptions of the model are as follows. Short-selling is possible. The time value for the money is not considered. Detection of consecutive buying (selling) TPs is not possible.
Findings
Empirical results with 20 data sets from Shanghai Stock Exchange indicate that the model detects the optimal TPs.
Originality/value
The proposed model, in contrast to the other methods, can detect the optimal TPs. Additionally, the proposed model, in contrast to the other methods, requires transaction cost as its only input parameter. This advantage reduces the process’ calculations.
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Farnad Nasirzadeh, David G. Carmichael, Mohammad Jafar Jarban and Mozhdeh Rostamnezhad
The purpose of this paper is to present a novel hybrid fuzzy-system dynamics (SD) approach for the quantification of the impacts of construction claims.
Abstract
Purpose
The purpose of this paper is to present a novel hybrid fuzzy-system dynamics (SD) approach for the quantification of the impacts of construction claims.
Design/methodology/approach
The most significant claims affecting a project are identified. The various factors affecting the impacts of claims are identified. Then, the qualitative model of construction claims is constructed considering the complex inter-related structure of the influencing factors. The mathematical relationships among the variables are determined and the quantitative model of claims is built. Finally, fuzzy logic is integrated into the proposed model to take into account the existing uncertainties.
Findings
To show the capabilities of the proposed simulation model, it is implemented on a real project and the impacts of the identified claims on the project cost are quantified. It is shown that the external interactions among different claims can intensify their overall impact.
Research limitations/implications
Identification of interactions among various influencing factors is not an easy job when there are a large number of claims in a project. Well-qualified experts and the existence of historical data may limit the application of the proposed method in projects with limited data and/or qualified experts.
Practical implications
The proposed hybrid fuzzy-SD approach provides a practical and flexible tool that can be used in various construction projects to assess the cost impacts of construction claims taking into account their complex interactions. Using the proposed method, the accuracy of achieved results is increased compared to conventional methods that are used for the quantification of claims since the complex inter-related structure of influencing factors and the claims interactions are taken into account. One of the capabilities of the proposed hybrid fuzzy-SD method is its flexibility. Depending on the type of contract and the parties involved in the project, the proposed hybrid fuzzy-SD method can be used during different stages of the project life cycle to model and quantify claims.
Originality/value
The proposed approach may present a flexible and robust method for quantification of construction claims. The novelty aspects of this paper are as follows: the extensively complex structure of claims arising from both internal and external interactions is accounted for using SD. The existing uncertainties affecting the impacts of a claim are taken into account.
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The last decades have seen manufacturing and services offshoring on the rise, often motivated by low prices and without consideration of other important criteria such as…
Abstract
Purpose
The last decades have seen manufacturing and services offshoring on the rise, often motivated by low prices and without consideration of other important criteria such as additional cost measures and risk. With wages in former low-cost countries and automation/robotization increasing, these decisions are increasingly contested. Re-evaluations of “shoring” decisions inherently create a need to re-examine theoretical and academic contributions to this rapidly changing phenomenon. Therefore, the special issue sought manuscripts that added to the exciting and dynamic body of knowledge on “rightshoring”. The paper aims to discuss this issue.
Design/methodology/approach
The paper starts out by delimiting outsourcing/insourcing and offshoring/reshoring as part of a conceptual “rightshoring” framework to establish a common terminology and context for the insights gathered in the special issue. It illustrates that “shoring” options can be classified along geographical and governance dimensions.
Findings
Both the geographical and governance dimensions are part of the rightshoring decision which is an important conceptual foundation for this special issue, as it invited insightful pieces on all of these phenomena (e.g. outsourcing, insourcing, offshoring, reshoring), acknowledging that these decisions are embedded in the same context – firms making governance and location decisions. Therefore, papers 1-4 primarily focus on offshoring, whereas paper 5 focuses on insourcing and paper 6 on reshoring. Their main findings are summarized in Table II.
Research limitations/implications
Suggestions for future research out of the six papers are summarized in Table III. There is ample opportunity to further shed light on these suggestions as well as to cover parts of the “rightshoring” framework presented, that remain less covered here (e.g. insourcing and/or reshoring).
Practical implications
The array of potential “rightshoring” options fosters clarity about the phenomena studied and their implications. The main practical implications of the six papers are summarized in Table II.
Originality/value
The overall conceptual framework highlights the positioning of the final papers included into the special issue and provides guidance to scholars and managers alike.
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Silvia Massini and Arie Y. Lewin
Purpose – To discuss how coevolutionary framework is useful to research emerging and evolving phenomena, such as global sourcing of business services, where West meets…
Abstract
Purpose – To discuss how coevolutionary framework is useful to research emerging and evolving phenomena, such as global sourcing of business services, where West meets East.
Approach – The authors first introduce the phenomenon of global sourcing of business services and then review extant literature on coevolutionary research.
Findings – The authors discuss how global sourcing is a coevolutionary and multilevel phenomenon, which can be better understood by identifying micro and macro factors (task, firm, industry, and country), demand and supply (clients and service providers), technological and institutional factors (Information and Communication Technology (ICT), digitization, demographic trends, national and regional policies).
Research implications – The authors identify the main mechanisms, research questions, and methodological issues that underlie coevolutionary analysis.
Originality/Value – The main contribution of this chapter is twofold: provide a deeper and more nuanced understanding of global sourcing of business services, and assert that in coevolutionary research the role of mechanisms affecting a phenomenon may change over time.
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Feiqiong Chen, Wenjing Wang and Jieru Zhu
Post-merger integration (PMI) is driven by coevolving processes. By integrating the literature on acquisitions with that of knowledge networks, this paper highlights different…
Abstract
Purpose
Post-merger integration (PMI) is driven by coevolving processes. By integrating the literature on acquisitions with that of knowledge networks, this paper highlights different reconstruction mechanisms for dual knowledge networks during PMI – namely, internal knowledge network coupling and external knowledge network embeddedness. This paper aims to examine their coevolutionary relationships with PMI.
Design/methodology/approach
A coevolutionary framework is tested using a latent growth model and cross-lagged models. The analysis is based on longitudinal data collected from 116 Chinese technology-sourcing overseas merger and acquisition firms.
Findings
This paper unearths a novel idea that variations in post-merger reconstruction of dual knowledge networks can explain why some acquirers increase the degree of integration faster than the others. The results show that the internal knowledge network coupling leads to more knowledge similarity and, in turn, causes a higher degree of integration. The external knowledge network embeddedness also causes higher relative network status of the acquirer, which consequently leads to a higher degree of integration. Furthermore, results from cross-lagged models confirm that an increase in the degree of integration positively influences subsequent changes in the internal knowledge network coupling and external knowledge network embeddedness, thus forming a coevolutionary relationship over time.
Originality/value
This paper responds to recent calls for more insights into the dynamics of PMI. By highlighting different reconstruction mechanisms for internal and external knowledge networks during PMI, this paper explains why it is important to understand PMI dynamics from a dual knowledge network perspective. This paper is the first to adopt a coevolutionary perspective and provide a more comprehensive dynamic framework between PMI and reconstruction of dual knowledge networks. Besides, this paper contributes to the research on emerging market multinational corporations’ cross-border merger and acquisition integration from a dynamic perspective, revealing the time effects of traditionally favored light-touch integration.
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Zenlin Kwee, Frans A.J. Van den Bosch and Henk W. Volberda
Understanding the phenomena of corporate longevity and self-renewing organizations has become an important topic in recent management literature. However, the majority of the…
Abstract
Understanding the phenomena of corporate longevity and self-renewing organizations has become an important topic in recent management literature. However, the majority of the research contributions focus on internal determinants of longevity and self-renewal. Using a coevolutionary framework, the purpose of this chapter is to address the dynamic interaction between organizations and environments in the realm of sustained strategic renewal, i.e. corporate longevity. To this end, we will focus on the competence of long-lived firms to coevolve due to the joint effect of managerial intentionality and environmental selection pressures. Building on coevolutionary framework, we develop a conceptual framework that highlights an organization's coevolutionary competence. Two longitudinal case studies are presented illustrating the arguments.
Organizational researchers live in two worlds. The first demands and rewards speculations about how to improve performance. The second demands and rewards adherence to rigorous…
Abstract
Organizational researchers live in two worlds. The first demands and rewards speculations about how to improve performance. The second demands and rewards adherence to rigorous standards of scholarship (March & Sutton, 1997, p. 698).Those of us who study organizations and are professors of management work on the front lines, so to speak, where the beliefs we have about how to improve managerial performance get passed directly on to practitioners. The question is, What right do we have to put our beliefs in a privileged position? Beliefs, by definition, are supposed to be true. According to Webster’s (1996) a belief is a conviction about the truth of some statement and/or reality of some phenomenon, especially when based on examination of evidence. Are all of our lectures based on consensually agreed upon evidentiary standards? What are these standards and who should maintain them?
Leonid Bakman and Amalya L. Oliver
The chapter presents a theoretical framework that deals with the basic question of how networks and industries coevolve. We draw upon the structural and relational perspectives of…
Abstract
The chapter presents a theoretical framework that deals with the basic question of how networks and industries coevolve. We draw upon the structural and relational perspectives of networks to theorize about changes occurring in interfirm networks over time and the coevolutionary linkage of these changes to the industry life cycle. We further extend the widely accepted industry life cycle model by claiming that industry-specific evolutionary patterns impact the structure of the network’s relations, which in turn lead to diversification in the sources of innovation and to variation in the patterns of industrial evolution.
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The purpose of this paper is to examine deinternationalisation through the lens of coevolutionary theory. The intention is to offer a fuller understanding of the processes and…
Abstract
Purpose
The purpose of this paper is to examine deinternationalisation through the lens of coevolutionary theory. The intention is to offer a fuller understanding of the processes and strategic challenges involved in this process and establish a path for future research in this area of internationalisation theory.
Design/methodology/approach
The paper draws links between emerging themes in organizational theory and internationalisation to aid the conceptual development and understanding of the process of deinternationalisation.
Findings
The exploration of links between organizational theory and internationalisation allows for the process of deinternationalisation to be more fully distinguished. The paper identifies processes of managed selection and retardation that will inform this process of organizational change.
Research limitations/implications
Whilst there are concerns over the applicability of concepts from natural sciences within the social sciences, the paper does offer a number of research propositions to guide future academic investigation within the field of deinternationalisation.
Originality/value
By linking research on coevolution to the study of internationalisation, the paper contributes to the understanding of the emergence of differing paths and trajectories involved in the process of international contraction and expansion. Furthermore, coevolutionary theory allows the process of deinternationalisation to be conceptualized as a means of generating and guiding future study on this under‐explored area of internationalization research.
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Maksud Ibrahimov, Arvind Mohais, Sven Schellenberg and Zbigniew Michalewicz
The purpose of this paper and its companion (Part I: single and two‐component supply chains) is to investigate methods to tackle complexities, constraints (including time‐varying…
Abstract
Purpose
The purpose of this paper and its companion (Part I: single and two‐component supply chains) is to investigate methods to tackle complexities, constraints (including time‐varying constraints) and other challenges. In this part, attention is devoted to multi‐silo supply chain and the relationships between the components. The first part of the paper aims to consider two types of experimental supply chains: with one‐to‐many and many‐to‐one relationships. The second half of the paper aims to present two approaches on optimising the material flow in the real‐world supply chain network.
Design/methodology/approach
Cooperative coevolutionary and classical sequential approaches are taken to address the experimental multi‐silo supply chains. Due to the nature and the complexity of the supply chain presented in the second half of the paper, evolutionary algorithm was not sufficient to tackle the problem. A fuzzy‐evolutionary algorithm is proposed to address the problem.
Findings
The proposed systems produce solutions better than solutions proposed by human experts and in much shorter time.
Originality/value
The paper discusses various algorithms to provide the decision support for the real‐world problems. The system proposed for the real‐world supply chain is in the process of integration to the production environment.
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