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Aiming at the problems of geometric precision misalignment and unconsidered physical constraints between large components during the measurement-assisted assembly, a self-adaptive alignment strategy based on the dynamic compliance center (DCC) is proposed in this paper, using force information to guide alignment compliantly.

First, the self-adaptive alignment process of large components is described, and its geometrical and mechanical characteristics are analyzed based on six-dimensional force/torque (F/T). The setting method of DCC is studied and the areas of DCC are given. Second, the self-adaptive alignment platform of large components driven by the measured six-dimensional F/T is constructed. Based on this platform, the key supporting technologies, including principle of self-adaptive alignment, coordinate transfer, calculation of six-dimensional F/T and alignment process control, are illustrated.

Using the presented strategy, the position and orientation of large component is adjusted adaptively responding to measured six-dimensional F/T and the changes of contact states are consistent with the strategy. Through the setting of DCC, alignment process runs smoothly without jamming.

This strategy is applied to the alignment experiment of large components muff coupling. The experimental results show that the proposed alignment strategy is correct and effective and meets the real-time requirement.

This paper proposed a novel way to apply force information in large component self-adaptive alignment, and the setting method of DCC was presented to make the alignment process more feasible.

The process approach to multi-level organizational behavior is based on the assumption that multi-level organizational behavior is processual in nature. This article defines group and organizational processes and their representation as process frameworks. Both functional and inclusional classes of levels exist, each of which has at least five categories of levels. All ten categories are special cases of process frameworks. This article provides examples of each category level, which it uses to illustrate new models of organizational work, extended models of interdependence, a new typology of theories based on their levels of processes, and a new tool for survey research called knobby analyses. After explaining the basic idea of knobby analysis, the article briefly describes the processual theory of the organizational hologram, the use of linear programming, and causal-chain analysis to provide multi-level explanations of employee opinion data. These ideas are embodied in conducting a strategic organizational diagnosis, which is the first stage of organizational design. Organizational design encompasses multiple stages, each of which itself involves multiple, multi-level phenomena and analyses. The basic point is that the processual nature of multi-level organizational phenomena gives more hope for improvements in theory building and their application if one uses the process approach rather than a variable approach.

This chapter provides a new theory for organizational leadership in which an organization's leadership, authority, management, power, and environments (LAMPE) are made coherent and integrated. Organizations work best if their LAMPE is coherent, integrated, and operational. The chapter begins by introducing basic concepts, such as structures, processes, process frameworks, task–role matrices, interdependence uncertainty, and virtual-like organizational arrangements. The LAMPE theory is then built upon this base. Leadership is defined as the processes of initiating, enabling, implementing, and sustaining change in an organization. Authority is defined as the legal right to preempt the outcome of a decision or a process. Management is defined in term of its major processes. Power is the control of interdependence uncertainty. When 29 leadership practices are introduced, it is possible to link them to all five of LAMPE's constructs. A number of conclusions are derived, in the form of 36 propositions: 5 dealing with leadership, 5 focusing on leadership requirements matching, 4 relating to leadership effectiveness, 5 dealing with leadership capacity, 4 concerning the benefits of distributed leadership, and 13 linking LAMPE to the theory of the organizational hologram.

On the backdrop of growing importance of Shariah compliant equity markets, the purpose of this paper is to study cross-country portfolio diversification benefits for investors with major trading partners of Saudi Arabia, namely, USA, China, Japan, Germany and India, who have already invested or tend to invest in Saudi Arabian stock market.

The authors have investigated time invariant, dynamic correlations at different investments horizons of the investors among Islamic asset classes by applying relevant econometric techniques like multivariate generalized autoregressive conditional heteroscedastic –DCC and continuous wavelet transforms. For robustness, this study also applied maximal overlap discrete wavelet transform.

The findings tend to indicate that the Saudi Arabian investors have portfolio diversification benefits with all major trading partners in the short-term investment horizon. Interestingly, Saudi Arabian market has the least portfolio diversification benefits with the Chinese market. However, in the long run, all markets are correlated, yielding minimum portfolio diversification benefits and most importantly Saudi Arabian investors have portfolio diversification benefits with the Indian Islamic equity market in almost all investment horizons. The findings are highly consistent across different econometric technique estimations.

The authors are only considering five major trading partners of Saudi Arabia. Also, the authors are using S&P and FTSE shari’ah index. Moreover, the time period of the study is constrained by the availability of shari’ah indices. Econometric limitations are also well documented in the literature.

The results could be beneficial for the investors, portfolio managers, hedge fund managers and institutional investors and also could be useful for the policy makers in their policy-making decisions.

Only very few studies have looked into the benefits of international portfolio diversification from the perspective of local investors as well as the portfolio diversification benefits with the major trading partners of Saudi Arabia. One of the novelties of the method is to make the stock investors, practitioners and policy makers aware of the portfolio diversification benefits available at different time scales such as 4, 8, 16, 32, 64 and 256 trading days as investment holding periods to unveil the true dynamics of co-movement between those different assets.

The purpose of this paper is to use Stewart’s model of role as a lense from which to explore chairperson and CEO role dynamics in addressing strategic paradox and tension.

The paper draws on 29 semi-structured, in-depth interviews with chairpersons and CEOs of UK-listed companies. Interview data are subjected to role analysis using Stewart’s (1982) Demands-Constraints-Choice (DCC) model of role.

Findings indicate that relationship levels of trust, communication and chairperson time enable strategic tensions to be raised and confronted in the relationship reducing defensiveness. Two distinct approaches to handle strategic tensions are found. The CEO-led approach predominates and rests on less flexible role boundaries, requiring the chairperson to proactively identify strategic tensions and perform an advisory/mentoring role. The shared leadership approach, less prevalent, rests on highly flexible role boundaries where the skills and experience of each incumbent become more relevant, enabling the separation of efforts and integration of strategic tensions in the relationship in a “dynamic complementarity of function”.

The paper only applies to the UK context and is limited to contexts where CEO and chairperson roles are separate. The paper draws on individual perceptions of chairperson and CEOs (i.e. not pairs).

The paper provides insights to practicing CEOs and chairperson on two distinct ways of working through strategic paradox and tensions.

The paper adds to the scarce literature at chairperson and CEO roles and strategic paradox and tension.

Digital curation addresses the technical, administrative and financial ecology required to ensure that digital information remains accessible and usable over the long term. The purpose of this paper is to trace digital curation’s disciplinary emergence and examine its position within the information sciences domain in terms of theoretical principles, using a case study of developments in the UK and the USA.

Theoretical principles regarding disciplinary development and the identity of information science as a discipline are applied to a case study of the development of digital curation in the UK and the USA to identify the maturity of digital curation and its position in the information science gamut.

Digital curation is identified as a mature discipline which is a sub-meta-discipline of information science. As such digital curation has reach across all disciplines and sub-disciplines of information science and has the potential to become the overarching paradigm.

These findings could influence digital curation’s development from applied discipline to profession within both its educational and professional domains.

The disciplinary development of digital curation within dominant theoretical models has not hitherto been articulated.

The purpose of this paper is to complement a previous article on using the Cynefin framework to make sense of the electronic records management challenge. Its focus is on how to use Cynefin, and the ERM framework developed using it, as an approach to addressing this wicked problem. The aim is to provide examples of how they could be used in practice in different organisational contexts.

Four examples are provided. Empirical research data are used to underpin three of the examples and a thought experiment using published literature informs the fourth.

The examples illustrate the potential value and power of the Cynefin framework as both a practical and conceptual tool in the ERM context. It can be used to address the ERM challenge in different ways: as a strategic approach taking a holistic view and/or as a tactical approach at a more specific granular level. It can be used to inform practice by helping practitioners choose the most appropriate approach dependent on the level of complexity of the issue they are addressing, whether that is for a specific issue, a project or initiative, for planning or for exploratory, sense-making purposes.

The examples draw on one qualitative, empirical set of research data and one published use. Further experimentation and practical use are required; others are encouraged to use Cynefin to test the propositions and provide further examples.

The examples provided can be adopted and/or adapted by records professionals, both practitioners and/or academics, at strategic and tactical levels in different records contexts.

This paper provides examples of adopting a different approach to tackling the wicked problem of managing electronic records using the Cynefin framework as a new lens.

This study aims to examine the dynamic bidirectional causality between oil price (OIL) and stock market indexes in net oil-exporting (Russia) and net oil-importing (China) countries.

The authors use monthly data for the period starting from October 1995 to October 2021. In this study, the bootstrap rolling-window Granger causality approach introduced by Balcilar et al. (2010) and the probit regression model are performed in order to identify the bidirectional causality.

The results show that the causal periods mainly occur during economic, financial and health crises. For oil-exporting country, the results suggest that any increase (decrease) in the OIL leads to an appreciation (depreciation) in the stock market index. The effect of the stock market on OIL is more relevant for the oil-importing country than that for the oil-exporting one. The COVID-19 consequences are demonstrated in the impact of oil on the Russian stock market. The probit regression shows that the US financial instabilities increase the probability of causality between OIL and stock market indexes in Russia and China.

The dynamic relationship between the variables must be taken into account in investment decisions. As financial instabilities in the USA drive the relationship between oil and stocks, investors should consider geopolitical, economic and financial elements when constructing their portfolios. Shareholders are required to include other assets in their portfolios since oil–stock relationship is highly risky.

This study provides further evidence of the bidirectional oil–stock causal link. Additionally, it examines the impact of financial instabilities on the probability that the OIL and the stock market index cause each other through the Granger effect.