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This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

This paper identified that organizations within the health care industry can apply the principles behind being a high reliability organization effectively and improve outcomes.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The performance of oil-filled pressure cores is very much affected by the corrugated diaphragm and the oil filling volume. The purpose of this paper is to show the effects of different corrugated diaphragms, different oil filling volumes and different treatments of the corrugated diaphragms on the performance of pressure sensors.

Pressure-sensitive cores with different diaphragm diameters, different diaphragm ripple numbers and different oil filling volumes are produced, and thermal cycling is introduced to improve the diaphragm performance, and finally the performance of each pressure-sensitive core is tested and the test data are analyzed and compared.

The experimental results show that the larger the diameter of the corrugated diaphragm used for encapsulation, the better the performance. For pressure-sensitive cores using smaller diameter corrugated diaphragms, the performance of one corrugation is better than that of two corrugations. When the number of corrugations and the diameter are the same size, the performance of the outer ring of the diaphragm with concave corrugations is better than that with convex corrugations. At the same time, the diaphragm after thermal cycling treatment and appropriate reduction of encapsulated oil filling can improve the performance of the pressure-sensitive core.

By exploring the effects of corrugated diaphragm and oil filling volume on the performance of oil-filled pressure cores, the design of oil-filled pressure sensors can be guided to improve sensor performance.

This paper aims to explore why creating a mentoring culture can help to transform businesses and solve key recruitment, training and development and retention issues. It looks at what a mentoring culture is and the benefits and provides advice for companies on how to build this kind of culture.

This paper considers the approach taken by leadership coaching company The OCM to develop effective coaching and mentoring programmes which can contribute to organisational success in an ever-changing business environment. This paper explores current business challenges and how they can be overcome.

Creating a mentoring culture can transform a business. It can address many talent and leadership-based challenges and tap into the potential of knowledge transfer across a multi-generational workplace. The paper includes two case studies of organisations whose experiences of mentoring and coaching have been overwhelmingly positive and led to much-needed cultural shifts.

This paper attempts to raise awareness of the benefits of mentoring and coaching as an effective method for attracting, developing and retaining people and meeting the challenges of a modern workplace.

Research has demonstrated that employees desire to be shown appreciation in various ways. The five languages of appreciation provide a model for exploring these differences. This study aims to explore whether individuals who speak different languages (and are from various cultures) differ in how they prefer to be shown appreciation.

The Motivating By Appreciation Inventory (MBAI) is an online tool that assesses each person’s preferences in how they desire to be shown appreciation at work. Initially developed in English, the MBAI has been translated into seven additional languages. Over 2,200 employees took the MBAI in their preferred spoken language: Mandarin (Chinese), Danish, French (Canadian), Portuguese (Brazilian), Spanish (Latin American), Thai and Turkish. The frequency of each group’s preferred appreciation languages was analyzed to determine similarities and differences across the languages spoken.

Given the non-normal distribution of the data, the Kruskal–Wallis test found that there was a significant difference in preferences for participants’ primary appreciation language across the seven groups of various spoken languages. One key theme was that words of affirmation were most frequently chosen by five of the seven language groups, whereas employees from Thailand and Turkey chose acts of service most frequently. Additionally, tangible gifts were the least frequently chosen appreciation language by all groups, and at rates below their US counterparts. In three of the languages, quality time was preferred significantly less compared with the other languages.

Some of the groups’ findings (Portuguese, Thai) may be impacted by a confounding variable of the type of work setting (manufacturing) in which the employees worked – in comparison to office-based work settings.

One theme was, in comparison to other ways of receiving appreciation, tangible gifts are not highly valued by most employees across all language groups. Therefore, organizations using gifts as the primary way to communicate appreciation to employees may be wasting a lot of money. Similar to English-speaking employees, five of the seven language groups chose words as their preferred appreciation language. A wide range exists, however, across language groups with regards to the proportion who desire words, quality time or acts of service. Multicultural organizations should pay attention to employee preferences, lest they waste time and energy on undesired actions.

To the best of the author’s knowledge, this is the first study that has examined the preferences of how employees like to be shown appreciation across seven different language groups.

This paper aims to give an overview of the history and evolution of commercial search engines. It traces the development of search engines from their early days to their current form as complex technology-powered systems that offer a wide range of features and services.

In recent years, advancements in artificial intelligence (AI) technology have led to the development of AI-powered chat services. This study explores official announcements and releases of three major search engines, Google, Bing and Baidu, of AI-powered chat services.

Three major players in the search engine market, Google, Microsoft and Baidu started to integrate AI chat into their search results. Google has released Bard, later upgraded to Gemini, a LaMDA-powered conversational AI service. Microsoft has launched Bing Chat, renamed later to Copilot, a GPT-powered by OpenAI search engine. The largest search engine in China, Baidu, released a similar service called Ernie. There are also new AI-based search engines, which are briefly described.

This paper discusses the strengths and weaknesses of the traditional – algorithmic powered search engines and modern search with generative AI support, and the possibilities of merging them into one service. This study stresses the types of inquiries provided to search engines, users’ habits of using search engines and the technological advantage of search engine infrastructure.

The purpose of this study is to propose a simplifying approach for modelling a reliability test. Modelling the reliability tests of printed circuit board (PCB)/microelectronic component assemblies requires the adoption of several simplifying assumptions. This study introduces and validates simplified assumptions for modeling a four-point bend test on a PCB/wafer-level chip scale packaging assembly.

In this study, simplifying assumptions were used. These involved substituting dynamic imposed displacement loading with an equivalent static loading, replacing the spherical shape of the interconnections with simplified shapes (cylindrical and cubic) and transitioning from a three-dimensional modelling approach to an equivalent two-dimensional model. The validity of these simplifications was confirmed through both quantitative and qualitative comparisons of the numerical results obtained. The maximum principal plastic strain in the solder balls and copper pads served as the criteria for comparison.

The simplified hypotheses were validated through quantitative and qualitative comparisons of the results from various models. Consequently, it was determined that the replacement of dynamic loading with equivalent static loading had no significant impact on the results. Similarly, substituting the spherical shape of interconnections with an equivalent shape and transitioning from a three-dimensional approach to a two-dimensional one did not substantially affect the precision of the obtained results.

This study serves as a valuable resource for researchers seeking to model accelerated reliability tests, particularly in the context of four-point bending tests. The results obtained in this study will assist other researchers in streamlining their numerical models, thereby reducing calculation costs through the utilization of the simplified hypotheses introduced and validated herein.

In July 2021, the European Commission has proposed a set of conjunct initiatives to reform the antimoney laundering/countering the financing of terrorism (AML/CFT) regulatory regime in Europe with the main aims to (i) harmonize the AML/CFT regulation and (ii) centralize the authority to a higher degree at European Union (EU) level. This paper aims to assess the reform in light of the EU subsidiarity principle.

The paper uses a benchmark approach to compare the proposed EU money laundering reform against Article 5(3) of the Treaty on the Functioning of the European Union.

The paper confirms that more centralized decision-making at EU level in this policy area is justified, mainly because (i) the policy area is not an area where the EU has exclusive competence, (ii) EU centralized action is necessary and (iii) it also adds value, for instance, for level playing field and efficiency considerations as long as local information advantage will not be lost. As such, the subsidiarity principle can be applied and is an adequate tool to legitimize EU centralized action in the field of money laundering combat.

As the EU AML regulatory reform has not yet been sufficiently discussed in light of the subsidiarity principle, the article is of innovative nature.

The purpose of this paper is to examine recovery through lived experience. It is part of a series that explores candid accounts of addiction and recovery to identify important components in the recovery process.

The G-CHIME model comprises six elements important to addiction recovery (growth, connectedness, hope, identity, meaning in life and empowerment). It provides a standard against which to consider addiction recovery, having been used in this series, as well as in the design of interventions that improve well-being and strengthen recovery. In this paper, a first-hand account is presented, followed by a semi-structured e-interview with the author of the account. Narrative analysis is used to explore the account and interview through the G-CHIME model.

This paper shows that addiction recovery is a remarkable process that can be effectively explained using the G-CHIME model. The significance of each component in the model is apparent from the account and e-interview presented.

Each account of recovery in this series is unique and, as yet, untold.

This paper aims to explore how HR leaders can help their managers ditch the traditional command-and-control leadership style and instead adopt an enquiry-led management approach – Operational Coaching^®. This approach helps managers to develop coaching-related behaviours in their day-to-day interactions with teams, to cultivate a culture that is more collaborative, inclusive and innovative with measurable improvements in engagement, productivity and performance.

Responding to the UK’s woeful productivity and employee engagement levels, the Government sponsored a large-scale academic research study (designed, conducted and independently evaluated by the London School of Economics, LSE) to assess the impact of managers learning to use an Operational Coaching^® style of management. Managers in 62 organisations across 14 sectors worked through a learning programme designed to build managers’ confidence in using intentional enquiry as a part of their everyday management style.

LSE proved, statistically significantly, that managers increased the amount of time they spent coaching their team members by an average of 70% and generated a 74 times return on investment. LSE also noted that intervention group organisations indicated a positive sixfold improvement in employee retention than in control group organisations.

When managers learn to use an Operational Coaching^® style of management in their day-to-day work with others, it allows them to learn how to challenge, support and grow the capabilities of their team members in ways that measurably benefit the individual and the organisation. Colleagues are more engaged, recognised and rewarded. As their competency and confidence grows, managers are released from aspects of their to-do lists and are able to invest even more attention towards coaching their team members.

Most recent C-suite surveying suggests current applications of generative AI, although hyped, are fragmented and unlikely to yield major financial returns anticipated. Instead, business leaders expect major value from generative AI will be achieved through application of generative AI to innovation: operational innovation, product and service innovation, and most elusive of all, business model innovation.

Findings and analysis presented draws on data from several surveys of C-level executives conducted by IBM Institute for Business Value in collaboration with Oxford Economics during 2023. Each survey focused on the potential of generative AI in a particular business area. The n-count of each survey ranged from 100-3000.

1. Business leaders expect generative AI to build on returns achieved from investments in traditional AI, with 10 percent RoI expected on generative AI investments by 2025. 2. Executives anticipate that generative AI will have most impact when implemented to expand innovation. 3. Specific examples provided for operational innovation, product innovation, and business model innovation

We are still very early in the generative AI development cycle. We have made best efforts to project, but only time will tell for sure.

Business application of generative AI are extremely fragmented. Despite the desire to throw investments at the wall to see what sticks, it is important that leaders take a structured approach to generative AI, focusing on RoI from innovation investments.

To alleviate negative impacts of generative AI, focusing on innovation potential and value maximization is crucial.

This research is based on completely new surveying and data. This papers adds to the sum total of new knowledge in the generative AI domain.