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To explain the requirements of Regulation Systems Compliance and Integrity (“Regulation SCI”) and the new responsibilities of organizations defined as “SCI entities.”

Explains the purpose of Regulation SCI, the responsibilities of SCI entities, systems covered by the rules (“SCI systems”), and specific obligations of SCI entities, including the establishment and periodic review of policies and procedures, compliance with the Exchange Act, designation of “responsible SCI personnel,” appropriate corrective action in response to “SCI events,” notification of systems changes, annual “SCI reviews,” business continuity and disaster recovery testing, and recordkeeping and filing. Discusses future implications for SCI Entities and other market participants.

Regulation SCI launches a broad and extensive overlay of rules and guidance to address systems capacity and integrity issues that have increasingly affected the securities markets. The adoption of this regulation suggests that there will continue to be increased scrutiny by the SEC, FINRA and other regulators of the automated systems and related policies and procedures of all market participants.

SCI entities will need to devote considerable attention and resources not just to prevent incidents where possible, but also to establish systems for ensuring thorough compliance and well-documented and reasonable follow-up actions where necessary. All market professionals – including broker-dealers, investment advisers, pension funds and investment companies – should study the new regulation and consider adopting appropriate policies and procedures to address operating as well as cyber security issues with respect to their own critical operating technology.

Practical guidance from experienced financial services lawyers.

Sustaining a spinal cord injury (SCI) at any point in time is life-altering – physically, emotionally, and financially – for all persons affected by the injury, but it can place unique challenges on younger married couples. This study examines the transition to injury for 18 couples (ages 21–55). Data were collected using individual interviews with each partner at three time points following injury and observation in the rehabilitation setting (Creekview). This resulted in 96 individual interviews and 300 hours of observation. Using the life course perspective as a guiding theoretical framework and thematic analysis, I examined how the healthcare institution influenced the couples' relationship during their rehabilitation stay and the subsequent transition home. Creekview staff and couples accepted and reinforced the dominant cultural narrative that women are natural caregivers, but larger social structures of class, gender, and the division of paid and unpaid labor worked together to push some women into caregiving faster or prevented other women from engaging in caregiving. This study examines how younger couples move through the caregiving career during an off-time transition when the expected outcome is not long-term care placement or death. This study identified three main types of caregivers, each with their own path of caregiving – naturalized, constrained, and resistant caregivers. Overall, the transition to injury is complex and this study highlights some of the ways the marital relationship is affected by a nonnormative, unexpected transition.

Supply chain integration (SCI) dominates supply chain strategy and is receiving increasing academic attention. The purpose of this paper is to provide a systematic review of the knowledge trajectory and structure of the SCI field.

Based on 3,533 papers extracted from the Web of Science (WoS), this paper adopts the main path analysis (MPA) method to detect three distinct knowledge development trajectories. Coupling-based clustering is combined with MPA to reveal three critical subfields.

The findings show that the definition, content and dimensions of SCI lack unified conclusions. The influencing factors and performance consequences of SCI are long-standing research elements. Building theoretical models and integrated systems and applying blockchain technology to improve SCI are the key research contents. The intertwining of collaboration and SCI cannot be ignored, and the green SCI may be a hot topic in the future.

This study explores knowledge in the SCI field based on the limited literature collected by WoS rather than all published papers. The omissions of some relevant papers and books may exist.

The study methodology provides a framework for similar studies in the future, and the results help researchers to get a comprehensive picture of the knowledge trajectory and structure of the SCI field.

Compared to existing reviews, MPA combines cluster analysis to develop a synthetic framework of the knowledge trajectory and structure in the SCI domain. It contributes to a systematic review of the development of SCI.

In this paper we deal with fuzzy numbers that modelize uncertain quantities present in many fields of applications, such as man‐machine systems. Main attention is paid to inverse operations for fuzzy numbers which allow one to solve equations or systems of equations with fuzzy numbers. The relevance of the method proposed for the determination of parameters of fuzzy models is also stressed.

In this paper, one combines information theory, and more especially the concept of entropy, with the statistical theory of decision to derive new criteria for pattern recognition. A generalized definition of entropy is considered as a risk function, and the generalized decision rules so obtained contain the family of the Bayesian decisions as special cases. These criteria may help to check the results obtained by usual techniques; they can be used in adaptive and learning systems, and more generally they can be useful in cybernetic systems.

The aim of this paper is to examine whether team-members' psychological proximity affects the degree of teamwork quality and therefore affecting the team performance.

A survey instrument was developed based on extant literature reviews, and administered among information technology professionals. Collected data were analysed using partial least square (PLS) method.

Team-members' psychological proximity is found to be significantly related to teamwork quality. The magnitude of relational coefficients between sub-dimensions of psychological proximity and those of teamwork quality turned out to be different from each other.

Psychological proximity is found to critically influence teamwork and performance in IT teams. Also, the four-factor model developed from previous literature is validated for further use. Snowball sampling using IT professionals is the major limitation of this study.

Studies on teamwork quality that employs psychological proximity are scarce. Socialising in workplaces is sometimes viewed as an unproductive activity, however, socialising decreases psychological proximity among team-members, increasing teamwork quality. In addition, examining the psychological proximity in team-members adds to the growing literature on teamwork quality.

This study aims to empirically examine the effect of supply chain innovation (SCI) announcements on shareholder value within the context of Industry 4.0 and Industry 5.0.

This study uses an event study method to examine the effect of SCI announcements on shareholder value of the 156 listed companies in China.

First, SCI announcements have a positive effect on shareholder value. Second, SCI with an integrated form more positively affects shareholder value than SCI with an independent form. SCI at the strategy level more positively affects shareholder value than SCI at the operation level. Technology-type SCI more positively affects shareholder value than process-type SCI. Third, this study finds that investors pay more attention to the SCI of companies in the service industry than that of in the manufacturing industry. Finally, the post-hoc analysis finds that digital SCI more positively affects shareholder value than intelligent SCI.

First, most scholars use questionnaire data rather than second-hand data to conduct empirical research to explore the impact of SCI on performance. Second, although scholars focus on performance comprehensively, including operational, financial, relational and environmental performance, no scholars use an event study to explore the impact of SCI on the stock market. Third, no scholars have explored the differential impact of SCI in different industries. Forth, few scholars have classified SCI according to the characteristics to explore the differential impact of SCI. Finally, the differences between SCI of Industry 4.0 and SCI of Industry 5.0 have been described, but no scholars have used empirical research to explore the differences.

Electronic learning (e‐learning) has gradually become an important part of university education. There is a trend among universities in Taiwan to offer more and more e‐learning courses. The effectiveness of teaching or learning in an e‐learning system can be quantified by multi‐criteria measures. The purpose of this study was to evaluate the effectiveness of teaching or learning in an e‐learning system measures in linguistic preferences.

A generalized quantitative evaluation model that considers both the interdependence among measures and the fuzziness of subjective perception is currently lacking in the literature. The results indicated that the fuzzy analytical network process is a simple, suitable, and effective method of identifying the primary measures that influence the effectiveness of e‐learning, specifically in the context of interdependent measures and varying linguistic preferences.

The most significant measures of e‐learning effectiveness were the quality of the e‐learning system and learner attractiveness. Enhanced usage of multimedia features can attract learner attention and may eventually increase learner attractiveness. Reducing the waiting time for learning materials to load may improve the quality of the system. Furthermore, the management should actively maintain and improve the responsiveness of instructors to learner inquiries.

The main contributions of this study are twofold. First, the evaluation can be considered as a complex‐dependence, hierarchical decision‐making problem. This study contains a review of the literature and identifies 21 criteria and five aspects to measure e‐learning system effectiveness. Second, this study integrates fuzzy set theory and the ANP to develop an evaluation model that prioritizes the relative weights of the proposed measures. The proposed method can be used to handle dependence within a set of measures and to construct a hierarchical structure.

The main purpose of this study is to examine the influence of two characteristics of supply chain management (SCM) (resilience and integration) on new product performance (NPP) via the mediation of marketing innovation orientation.

This study was designed by the quantitative method, and the research model was developed based on the resource-based view (RBV) theory of 211 managers from Israeli firms using SmartPls3 software.

The main finding that emerges from this study is that marketing innovation orientation serves as a full mediator in the relationship between supply chain resilience (SCR) and NPP as well as in the relationship between supply chain integration (SCI) and NPP. Thus, companies that wish to achieve a competitive advantage over their rivals should improve and strengthen their marketing innovation orientation. By doing so, they enhance the relationship between SCM and NPP.

The findings provide an applicable guideline for marketing managers. Managers should be ready to adapt to customers’ demands, environmental changes and, most importantly, disruptive events in a dynamic environment.

The current study sheds light on the mechanism for NPP via integrating suppliers, customers and the organization. So, managers should adopt SCR and integration to strengthen their marketing innovation orientation in order to achieve NPP.