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This paper considers supply chain management organizations with the aid of 'chaotic systems theory' developed originally in physics and mathematics. Since innovations in supply chain management are vital for organizational survival 'complex systems theory' may assist in fine-tuning managerial philosophies that provide stability in supply chain management because it is on the boundary of chaos that the greatest innovational creativity occurs. Neither 'management by rigid objectives' (MBO) nor 'management by instruction' (MBI) will be suitable for the information society of the twenty-first century because chaotic social systems will no longer be effectively managed. However, the capacity for self-organization will be derived essentially from how supply chain management members accept a shared set of values or principles for action-'management by values' (MBV). Complex systems theory deals with systems that show complex structures in time or space, often hiding simple deterministic rules. This theory holds that once these rules are found, it is possible to make effective predictions and even to control the apparent complexity. The state of chaos that self-organizes is attributable to the appearance of the 'strange attractor' and provides the ideal basis for creativity and innovation in the twenty-first century. In the self-organized state of chaos, social members are not confined to narrow roles and gradually develop their capacity for differentiation and relationships, growing progressively towards their maximum potential contribution to the efficiency of the organization. In this meaning, values act as organizers of 'attractors' of disorder, which, in the theory of chaos, are systems represented by usually regular geometric configurations that predict the long-term behavior of complex systems. In supply chain management organizations (as in all kinds of social systems) the initial principles end up as the final principles in the long term. An attractor is a model representation of the behavioral results of the system. The attractor is not a force of attraction or a goal-oriented presence in the system; it simply depicts where the system is heading based on its rules of motion. In supply chain management organizations that cultivate or shares values of autonomy, responsibility, independence, innovation, creativity, and proactivity, the risk of short-term chaos is mitigated by external complexities that organizations are currently confronting. The strategy is to alter the supply chain management's surroundings so that they can benefit from management by values (MBV).

This paper introduces an audio encryption algorithm based on permutation of audio samples using discrete modified Henon map followed by substitution operation with keystream generated from the modified Lorenz-Hyperchaotic system. In this work, the audio file is initially compressed by Fast Walsh Hadamard Transform (FWHT) for removing the residual intelligibility in the transform domain. The resulting file is then encrypted in two phases. In the first phase permutation operation is carried out using modified discrete Henon map to weaken the correlation between adjacent samples. In the second phase it utilizes modified-Lorenz hyperchaotic system for substitution operation to fill the silent periods within the speech conversation. Dynamic keystream generation mechanism is also introduced to enhance the correlation between plaintext and encrypted text. Various quality metrics analysis such as correlation, signal to noise ratio (SNR), differential attacks, spectral entropy, histogram analysis, keyspace and key sensitivity are carried out to evaluate the quality of the proposed algorithm. The simulation results and numerical analyses demonstrate that the proposed algorithm has excellent security performance and robust against various cryptographic attacks.

This study aims to explore past and present service research and to provide a future research agenda for service researchers by presenting a big picture of the intellectual connections and emerging topics in the discipline.

This study is an empirical analysis of citations and cocitations on a sample of 5,837 articles published in leading service journals (from 1981 to December 2020). Network analysis was adopted to analyze the data. This study is exclusive in conducting the inquiry at the individual publication level, rather than using the normal aggregated author co-citation analysis approach.

The findings reveal that the main themes of service research centered on customer satisfaction, service quality, service-dominant logic, methodological foundations, market orientation and service encounter. Also clarified is the periphery domain that may become more important in the future (i.e. technology). The findings also present anchor points for conceptual framing and conceptual development – five main themes that are momentous to navigate theory discovery and justification in the knowledge domain.

It calls for a more academic effort to evaluate the service research by considering different epistemological paradigms, such as positivism, monologic and hermeneutic, to better understand the process and progress of the discipline.

Through exploring the transformation of service research into a customer-centric model and technology-based service logic, this study offers possible implications for practitioners and further research areas for service researchers.

To the best of the authors’ knowledge, this study is the first to use a citation, cocitation and network analysis to examine service research published in leading service journals. This study provides a significant contribution to the theory by combining main conceptual areas and interests in the given discipline.

Este estudio explora la investigación de servicios pasada y presente y proporciona una agenda de investigación, presentando un panorama general de las conexiones intelectuales y los temas emergentes en la disciplina.

Este estudio es un análisis empírico de las citas y co-citas sobre una muestra de 5.837 artículos publicados en las principales revistas de servicios (1981–2020). Se utilizó el análisis de redes para examinar los datos. Este trabajo es único en la realización de la investigación a nivel de publicación individual, en lugar de utilizar el enfoque habitual de análisis de co-citación de autores agregados.

Los resultados revelan que los temas principales de la investigación sobre servicios se centran en la satisfacción del cliente, la calidad del servicio, la lógica del servicio dominante, los fundamentos metodológicos, la orientación al mercado y el encuentro de servicios. También se clarifica un ámbito periférico que puede adquirir mayor importancia en el futuro (la tecnología). Los resultados también presentan puntos de anclaje para el encuadre y el desarrollo conceptual de diversos temas importantes.

Este estudio es el primero que utiliza un análisis de citas, co-citas y redes para analizar la investigación en servicios publicada en las principales revistas de servicios. Proporciona una importante contribución a la teoría al combinar las principales áreas conceptuales y los intereses de la disciplina.

Mediante la exploración de la transformación de la investigación en servicios en un modelo centrado en el cliente y en la lógica de los servicios basados en la tecnología, este estudio ofrece posibles implicaciones para los profesionales y nuevas áreas de investigación para los investigadores.

Se reclama un mayor esfuerzo académico para evaluar la investigación de servicios considerando diferentes paradigmas epistemológicos, como el positivismo, el monologismo y la hermenéutica, para comprender mejor el proceso y el progreso de la disciplina.

本研究旨在探索过去和现在的服务研究, 并通过展示该学科的知识联系和新兴主题的全局, 为服务研究领域的学者提供未来的研究议程。

本文是基于1981年到2020年12月期间发表在五个领先服务类期刊上的5,837篇文章进行引用和共同引用的实证分析, 并采用网络分析法对数据进行分析和分类。这项研究的独到之处在于在单个出版物层面上进行调查, 而不是采用正常的汇总作者共被引分析方法。

我们的调查结果显示, 服务研究的主题主要集中在顾客满意度、服务质量、服务主导逻辑、方法论基础、市场导向和服务遭遇。同时, 还阐明了未来可能变得更加重要的外围领域（即技术）。研究结果还提出了概念框架和概念发展的锚点–概念图的五个主要主题对导航知识领域的理论发现和论证至关重要。

本研究首次使用引文、共同引文和网络分析来考察发表在领先服务期刊上的服务研究。它结合特定学科的主要概念领域和兴趣, 为理论研究做出了重要的贡献。它还确定了我们在服务学术研究中已知和未知的内容。

通过探索服务研究转变为以客户为中心的模式和基于技术的服务逻辑, 本研究为从业者提供了启示, 也为后续服务研究指引了值得进一步研究的领域。

本文呼吁更多的学术研究通过考虑不同的认识论范式, 例如实证主义、一元论和解释学来评估服务研究, 以便更好地了解该学科的过程和进展。本文还呼吁未来研究可以尝试填补本文研究结果提出的知识空白。

The Bass model was created to analyse the product life cycle (PLC) in order to help sales and marketing departments in their business decision making. The purpose of this paper is to analyse the diferences between the clients assisted and sales variables, to discover which of the two variables is the more useful for the estimation of the PLC phases through the Bass model, thus aiding the managers of company sales and marketing departments.

In this research, the authors analysed the 223,577 clients assisted by a nationwide network of car dealerships, who acquired 36,819 vehicles, during a 24-month period. In the analysis, the Bass model was applied to define the PLC phases; and nonlinear regression models were used to carry out the estimations.

The results show that more consistent estimates of the PLC phases are obtained from the clients assisted variable. This work has theoretical and practical implications that can help business management.

The most remarkable thing about this research is that we have shown that the functionality of the clients assisted variable is greater than the sales variable for the Bass model and, therefore, for PLC estimation.

The results of this research are very useful, since they allow marketing decision makers to obtain more consistent estimations of the PLC phases using the Bass model and the clients assisted variable. This is based on the fact that the use of this variable helps to detect if there is any deficiency in the design of the marketing strategy when the client does not make the purchase.

The data on clients assisted are as easily available to companies as sales data. However, the use of this variable improves PLC analysis and this allows an improvement in company forecasting. Thus, making the clients assisted variable a tool to strategically plan investments in innovation and marketing would reduce uncertainty in business management.

The purpose of this paper is to analyse the diferences between the clients assisted and sales variables, to discover which of the two variables is the more useful for the estimation of the PLC phases through the Bass model, thus aiding the managers of company sales and marketing departments.

Externalities influence the career trajectories of self-initiated expatriates (SIEs) and their respective career crafting. This study aims to explore the international career crafting of SIEs (encompassing their proactive career reflection and construction), taking the combined external influences of complexity, chance and change into consideration.

The authors employ a qualitative (interpretative) approach, combining career crafting and the chaos theory of careers (CTC) to further understand, from an individual standpoint, the impact of externalities on the career crafting strategies of 24 SIEs who have relocated within the European Union.

The authors show that SIEs' proactively craft their careers to varying degrees and with varying frequency. The CTC – incorporating complexity, chance and change – allows for a more nuanced understanding of SIEs' career crafting.

This paper applies the concept of career crafting to an international context, exploring the impact of externalities on SIEs' careers. In this way, the authors combine two previously separate theories, extend the application of career crafting to an international career context and emphasise the role of temporality and the whole-life view of career in SIEs’ career crafting approach.

Entrepreneurs prioritise and act on purposeful endeavours instigated to actions by the visions of profits and benefits in the perceived opportunities. In the state of maximum entropy, with disorderliness and disequilibrium, entrepreneurs select the preferred pathway, through the profit-sensing mechanism, with the best probability of success to bet on. Therefore, this paper unpacks the forces at work in the mechanism to explain how entrepreneurs respond to opportunity and interpret the signals to coalesce into organised actions.

This research is primarily a conceptual paper on entrepreneurial action and the mechanism leading to that action. It refers to thermodynamic principles and biological cases to explain the forces at work using mostly analogical comparisons and similarities.

This paper aims to present an alternative theoretical scaffolding for entrepreneurship researchers to explore non-rational entrepreneurial behaviours and actions in uncertain, unstable and non-equilibrium environments, thereby creating new and competing hypotheses under the backdrop of adaptive evolution and thermodynamics phenomena.

The discussion featuring instinctively and naturally forming responses cannot fully explain the real entrepreneurial action as there is an element of free will and choices that are not discussed. While strategic choice and free-will shape decisions, they are preceded first by the attraction of the gradients and the biased motion in the direction of profit-attractant.

There remain essential links and issues not addressed in this “natural science”, constituting life science and physical science, oriented entrepreneurship research and exploration. Conceptualising opportunity-as-artefact and entrepreneurship as design, significant incidences of entrepreneurial actions can be explained by the presence of gradients stimulating entrepreneurial actions.

This viewpoint of information causality in opportunity-as-artefact casts a new look at the venerable question of what causes entrepreneurial actions. Shane and Venkataraman brought into focus this conversation, initiating the conceptual definition of opportunity. To have entrepreneurship, entrepreneurial opportunities must come first. Figuring the signals arising from these opportunities and cueing entrepreneurs to action is the main focus of this study.

Considering the “mechanism” at work and the thermodynamical forces at play, the entrepreneurial design process appears to hold considerable promise for future research development.

This work aims to explore the behavior of stock market prices according to the autoregressive fractional differencing integrated moving average model. This behavior will be compared with a measure of online presence, search engine results as measured by Google Trends.

The study sample is comprised by the companies listed at the STOXX® Global 3000 Travel and Leisure. Google Finance and Yahoo Finance, along with Google Trends, were used, respectively, to obtain the data of stock prices and search results, for a period of five years (October 2012 to October 2017). To guarantee certain comparability between the two data sets, weekly observations were collected, with a total figure of 118 firms, two time series each (price and search results), around 61,000 observations.

Relationships between the two data sets are explored, with theoretical implications for the fields of economics, finance and management. Tourist corporations were analyzed owing to their growing economic impact. The estimations are initially consistent with long memory; so, they suggest that both stock market prices and online search trends deserve further exploration for modeling and forecasting. Significant differences owing to country and sector effects are also shown.

This research contributes in two different ways: it demonstrate the potential of a new tool for the analysis of relevant time series to monitor the behavior of firms and markets, and it suggests several theoretical pathways for further research in the specific topics of asymmetry of information and corporate transparency, proposing pertinent bridges between the two fields.

The purpose of this paper is to explore the impact of recent developments in corporate reporting, specifically from the carbon disclosure project (CDP) environment, in the evolution of European post-crisis financial markets.

Theoretical and instrumental advancements from nonlinear dynamics have been applied to the analysis of market behaviour and the online presence or reputation of major European listed banks.

The application of a nonlinear statistical methodology (i.e. the autoregressive fractionally integrated moving average [ARFIMA] estimation model) demonstrates the presence of a long history of collected data, thus indicating a certain degree of predictability in the time series. Also, this study confirms the existence of structural breakpoints, specifically the impact of the CDP reporting in both stock prices and online search trends of the sampled companies for certain periods.

This study introduces new methodological perspectives in corporate reporting studies, as the application of nonlinear techniques can be more effective in capturing corporate transparency issues. A limitation to overcome is to explore whether the impact of reporting is different due to the specific reporting behaviour each company adopts.

The “breakpoint” concept should enlighten the importance to firms of providing more information in specific moments, which can impact on both traditional (i.e. stock prices) and modern (i.e. online popularity) performance metrics. Additionally, it should be taken into account by stakeholders, when analysing the accountability of firms to improve their decision-making processes and policymakers, for monitoring and contrasting speculative and insider trading activities.

Online search trends represent a new public attitude to how society “measures” the effectiveness of firms’ disclosure behaviours.

Combining ARFIMA with structural break techniques can be regarded as a relevant and complementary addition to classic “market reaction” or “value relevance” techniques.

This study aims to explore and empirically test variables influencing material delivery schedule inaccuracies?

A mixed-method case approach is applied. Explanatory variables are identified from the literature and explored in a qualitative analysis at an automotive original equipment manufacturer. Using logistic regression and random forest classification models, quantitative data (historical schedule transactions and internal data) enables the testing of the predictive difference of variables under various planning horizons and inaccuracy levels.

The effects on delivery schedule inaccuracies are contingent on a decoupling point, and a variable may have a combined amplifying (complexity generating) and stabilizing (complexity absorbing) moderating effect. Product complexity variables are significant regardless of the time horizon, and the item’s order life cycle is a significant variable with predictive differences that vary. Decoupling management is identified as a mechanism for generating complexity absorption capabilities contributing to delivery schedule accuracy.

The findings provide guidelines for exploring and finding patterns in specific variables to improve material delivery schedule inaccuracies and input into predictive forecasting models.

The findings contribute to explaining material delivery schedule variations, identifying potential root causes and moderators, empirically testing and validating effects and conceptualizing features that cause and moderate inaccuracies in relation to decoupling management and complexity theory literature?

The authors’ goal is to provide an overview and historical context for the various alternatives to the efficient market hypothesis (EMH) that have emerged over time. The authors found eight current alternatives that have emerged to address the EMH's flaws. Each of the proposed alternatives improves some of the assumptions made by the EMH, such as investor homogeneity, the immediate incorporation of information into asset values and the inadequacy of rationality to explain asset prices.

To come up with the list of studies relevant to this review article, the authors used three databases, namely Scopus, Web of Science and Google Scholar. The first two were mostly used to get peer-reviewed articles while Google Scholar was used to extract articles that are still work in progress. The following words were used as the search queries; “efficient market hypothesis” and “alternatives to the efficient market hypothesis”.

The alternatives to the EMH presented in this article demonstrate that market efficiency is a dynamic concept that can be best understood with a multidisciplinary approach. To better comprehend how financial markets work, it is crucial to draw on concepts, theories and ideas from a variety of disciplines, including physics, economics, anthropology, sociology and others.

The authors comprehensively summarise the current state of the behavioural finance literature on alternatives to the EMH.