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The Hurst exponent has been very important in telling the difference between fractal signals and explaining their significance. For estimators of the Hurst exponent, accuracy and efficiency are two inevitable considerations. The main purpose of this study is to raise the execution efficiency of the existing estimators, especially the fast maximum likelihood estimator (MLE), which has optimal accuracy.

A two-stage procedure combining a quicker method and a more accurate one to estimate the Hurst exponent from a large to small range will be developed. For the best possible accuracy, the data-induction method is currently ideal for the first-stage estimator and the fast MLE is the best candidate for the second-stage estimator.

For signals modeled as discrete-time fractional Gaussian noise, the proposed two-stage estimator can save up to 41.18 per cent the computational time of the fast MLE while remaining almost as accurate as the fast MLE, and even for signals modeled as discrete-time fractional Brownian motion, it can also save about 35.29 per cent except for smaller data sizes.

The proposed two-stage estimation procedure is a novel idea. It can be expected that other fields of parameter estimation can apply the concept of the two-stage estimation procedure to raise computational performance while remaining almost as accurate as the more accurate of two estimators.

Corporate entrepreneurship (CE) has attracted considerable attention worldwide, and the challenges of managing employees’ entrepreneurial behaviours are increasingly recognised. However, the paucity of research on managers’ entrepreneurial behaviour in the United Arab Emirates multinational corporate environment creates a salient gap in the current understanding of how national and organisational cultures that not always align frame the critical problems of CE. This study aims to fill this research gap by examining multinationals’ CE antecedents drawing on an institutional perspective in Dubai.

The author conducts 54 in-depth interviews with middle managers in multinational enterprises. This study adopts a multiple case study research design to reveal whether an emergent discovery is exclusive to a particular case or is consistently replicated by multiple cases. The author has used abductive reasoning to systematically integrate analytical framework deduction with raw data induction.

This study’s findings indicate that CE in Dubai is ineffective and fragmented. Arguably, the cultural background of employees creates different circumstances and determinants of entrepreneurial behaviour. Hence, CE may not achieve epitome competencies without identifying multicultural nuances in an organisational context.

Existing research has placed relatively little emphasis on the role of individual national culture in multinational enterprises. This study’s results offer potentially valuable implications for theory, practice and future research addressing other emerging countries. This model presents a distinct CE architecture with compelling evidence for national culture (at the macro level), organisational culture, Corporate Entrepreneurship Assessment Instrument and emergent factors (at the meso level) and individual middle managers' real-life experience (at the micro level).

The purpose of this paper is to explore oncology nurses’ barriers to empathy-based care perceptions.

The authors used a descriptive qualitative method. In total, 18 oncology nurses were selected via purposive sampling. Data were collected through in-depth interviews and qualitative content analysis using an inductive approach.

Three main categories emerged from the data analysis: barriers related to nursing including: lacking compassion; disinterest in oncology nursing and self-criticism; psychological distress; barriers related to healthcare: job strain; task-centeredness; no formal training; poor manager support; nurse-patient gender imbalance; and barriers related to cancer care including: difficulty maintaining empathy with cancer patients; and inappropriate cancer patient

Oncology nurses provided insights into barriers to empathy-based care and the challenges they encountered while caring for cancer patients. Understanding these barriers is the first step to overcoming obstacles and creating an open and caring environment to provide an empathic care culture.

Given that oncology nurses experience several emotions, positive coping strategies for these distresses should be adopted. Healthcare systems should change cancer-caring culture from task-centered to patient-centered care. Compassion and empathy should become patient care values.

The complexity of analysis of geotechnical behavior is due to multivariable dependencies of soil and rock responses. In order to cope with this complex behavior, traditional forms of engineering design solutions are reasonably simplified. Incorporating simplifying assumptions into the development of the traditional models may lead to very large errors. The purpose of this paper is to illustrate capabilities of promising variants of genetic programming (GP), namely linear genetic programming (LGP), gene expression programming (GEP), and multi‐expression programming (MEP) by applying them to the formulation of several complex geotechnical engineering problems.

LGP, GEP, and MEP are new variants of GP that make a clear distinction between the genotype and the phenotype of an individual. Compared with the traditional GP, the LGP, GEP, and MEP techniques are more compatible with computer architectures. This results in a significant speedup in their execution. These methods have a great ability to directly capture the knowledge contained in the experimental data without making assumptions about the underlying rules governing the system. This is one of their major advantages over most of the traditional constitutive modeling methods.

In order to demonstrate the simulation capabilities of LGP, GEP, and MEP, they were applied to the prediction of: relative crest settlement of concrete‐faced rockfill dams; slope stability; settlement around tunnels; and soil liquefaction. The results are compared with those obtained by other models presented in the literature and found to be more accurate. LGP has the best overall behavior for the analysis of the considered problems in comparison with GEP and MEP. The simple and straightforward constitutive models developed using LGP, GEP and MEP provide valuable analysis tools accessible to practicing engineers.

The LGP, GEP, and MEP approaches overcome the shortcomings of different methods previously presented in the literature for the analysis of geotechnical engineering systems. Contrary to artificial neural networks and many other soft computing tools, LGP, GEP, and MEP provide prediction equations that can readily be used for routine design practice. The constitutive models derived using these methods can efficiently be incorporated into the finite element or finite difference analyses as material models. They may also be used as a quick check on solutions developed by more time consuming and in‐depth deterministic analyses.

This paper examines the influence of the normal science tradition, epitomized by the notion that “theory is king”, on contemporary accounting research and the epistemological tensions that may emerge as this idea is applied to particular ways of studying accounting. For illustrative purposes, the authors focus on research informed by actor-network theory (ANT) which can be seen as an “extreme case” in the sense that it is, in principle, difficult to reconcile with the normal science aspirations.

The paper offers an analysis based on a close reading of how accounting scholars, using ANT, theorize, and if they do engage in explicit theorizing, how they deal with the tensions that might emerge from the need to reconcile its epistemological underpinnings with those of the normal science tradition.

The findings of this paper show that the tensions between normal science thinking and the epistemological principles of ANT have, in a few cases, been avoided, as researchers stay relatively faithful to ANT and largely refrain from further theory development. However, in most cases, the tensions have ostensibly been ignored as researchers blend the epistemology of ANT and that of normal science without reflecting on the implications of doing so.

The paper contributes to emerging debates on the role of the normal science tradition in contemporary accounting research, and also extends recent discussions on the role of theory in accounting research inspired by ANT. The paper proposes three reasons for the observed blending of epistemologies: unawareness of tensions, epistemological eclecticism and various political considerations.

Engaging with customers and addressing unmet value have become increasingly challenging within multi-stakeholder environments of service innovation. Therefore, this paper aims to address this challenge by studying how strategic design abilities address unmet value in service engagement strategies.

The authors conducted a qualitative inductive study at a multinational corporation and interviewed marketing and design professionals on their innovation practices in service engagement strategies.

From the inductive analysis, this study identified three strategic design abilities that effectively contribute to addressing unmet value throughout the co-evolving process of service engagement: envisioning value, modelling value and engaging value. Based on this, this study proposes the emerging co-evolving loop framework of service engagement strategies.

The limitation of this emerging theory is a lack of broad generalizability with mutual exclusivity or collective exhaustiveness across industries. A theoretical implication of the framework is the integration of strategic design and services marketing towards co-created engagement strategies.

The service engagement loop framework can be of great value to service innovation processes, for which an integrated, cross-functional approach is often missing.

The findings further suggest that next to a methodological skillset, strategic design abilities consist of a distinct mindset.

This paper introduces strategic design abilities to address unmet value and proposes a novel co-evolving loop framework of service engagement strategies.

The purpose of this paper is to explore the emergence of innovation in smart service systems to conceptualize how actor’s relationships through technology-enabled interactions can give birth to novel technologies, processes, strategies and value. The objectives of the study are: to detect the different enablers that activate innovation in smart service systems; and to explore how these can lead dynamically to the emergence of different innovation patterns.

The empirical research adopts an approach based on constructivist grounded theory, performed through observation and semi-structured interviews to investigate the development of innovation in the Italian CTNA (Italian acronym of National Cluster for Aerospace Technology).

The identification and re-elaboration of the novelties that emerged from the analysis of the Cluster allow the elaboration of a diagram that classifies five different shades of innovation, introduced through some related theoretical propositions: technological; process; business model and data-driven; social and eco-sustainable; and practice-based.

The paper embraces a synthesis view that detects the enabling structural and systems dimensions for innovation (the “what”) and the way in which these can be combined to create new technologies, resources, values and social rules (the “how” dimension). The classification of five different kinds of innovation can contribute to enrich extant research on value co-creation and innovation and can shed light on how given technologies and relational strategies can produce varied innovation outcomes according to the diverse stakeholders engaged.

Rooting in the literature on training and laying on Kirkpatrick model, this paper aims to explore key drivers of corporate training to identify how they can be combined into an integrated framework of learning for human capital development.

By adopting the constructivist grounded theory, this contribution analyzes the experience carried out in the last ten years by Virvelle, an Italian corporate training firm.

Results show the rise of five core categories, g1iving rise to an integrated model of Kirkpatrick. Their dynamic interplay led to a new orientation of Kirkpatrick model giving rise to a metalearning ecosystem.

Managerial implications have identified key factors on which building and implementing appropriate corporate training programmes capable of triggering co-generative processes of value creation. Particularly, the essential role of learning quality culture, digital technology and personalization are detected in integrating not only hard but furthermore soft shades of learning. Concerning theoretical implications, the emergence of key structural and systems enabling dimensions for learning, and contextual mechanisms involved in reshaping training effectiveness and achieving integrated learning outcomes are detected. The main limitation of this study lies in the need to generalize results: the conceptualized framework needs to be empirically tested.

The value of this research is built along three main points. The first is the integration among the core categories that an integrated learning system can be built on, promoting learning quality culture through positive feedback loops. The second is represented by the chance to enhance an integrated mutual knowledge development among engaged actors, thereby shaping a more holistic and multidimensional learning model. The third is related to the transversal role that digital technology plays in all phases of the training process as it integrates and enriches them.

Emotion work benefits service organizations, but high emotion-workloads lead to negative consequences for employees. We examined differences between employees highly competent in emotion work (Experts) and those who are less competent (Novices). We found that Novices conformed to organizational level display rules, used simple strategies and felt overwhelmed by their emotion-workload. In contrast, Experts followed interaction level display rules, used proactive strategies, and found emotion work to be effortless. This suggests that emotion work competence can act as a firewall buffering employees from negative consequences. Hospitality organizations can benefit from encouraging employees to increase their emotion work competence.

Peer support (PS) workers are being employed despite uncertain evidence for clinical and cost-effectiveness. Psychological theories have been proposed to explain the mechanisms of PS but these lack empirical validation and specificity to professional PS. The purpose of this paper is to develop a substantive interpretive grounded theory of service-users’ experience of professional PS work.

Constructivist grounded theory was used throughout. Semi-structured interviews were conducted with ten service-users who had engaged with a professional PS worker.

Three overarching themes were constructed. “The process of disclosure” describes how disclosure of mental health difficulties, experiences as a service-user and wider disclosure about life experiences, interests and values facilitate the development of a shared identity with the PS worker. “The product of disclosure” highlights the sense of being understood as a result of the disclosure and marks a deepening of the relationship. “Dual roles” describes the tenuous position of holding both a professional relationship and friendship.

Future research should seek to refine the theory developed and compare the effects of therapist self-disclosure with that found within PS. There were limitations within the study, including limited diversity within the sample as well as difficulties with recruitment.

This study connects service-users’ accounts of receiving PS with existing psychological theory to move towards an understanding of the relationship between receivers and providers of professional PS.