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This article aims to understand where industry is in terms of digitalizing their operations, what features of this transformation are essential for practitioners, and what barriers they are facing during their journey. In addition, the authors aim to provide recommendations for organization to start their digital transformation.

Through literature review, the authors summarize the emerging tools and technologies in operations and supply chains to inform the practitioners. Then, the authors use surveys conducted on 183 operations and supply chain professionals, and use statistical tools to examine the association between variables of the data set. The authors present real-life case studies to explain important steps of a digital transformation project.

The survey results indicate that real-time monitoring and data analytics are viewed as the most important and needed tools for organizations. High cost, lack of stakeholder buy-in and lack of successful business use cases are major barriers for companies when starting a digital transformation.

The authors provide recommendations for practitioners based on the survey responses, and outline that starting small, focusing on stakeholder buy-in and implementation of software are the three key steps for a successful transformation journey.

Main contributions of this article are to understand practitioner perspectives in digitalization and provide guidelines for organizations to follow when transforming their operations. This research closes the gap between academic research and practice by collaborating with operations and supply chain professionals.

Over the past 30 years, increasing use of technology has created a global business environment leading to the changed role of a professional accountant. In response, accounting organizations and employers have demanded professionals who are creative and innovative, with strong critical thinking and problem-solving skills, yet accounting firms and prior research continue to identify creativity as one of the most important yet most lacking traits of their newly hired employees. This study experimentally examines whether accounting students are indeed less creative than other students, a potential cause for differences in creativity, and a potential intervention to enhance creativity. Our results indicate that, on average, accounting students are not less creative than other students, but rather when performing an accounting task, they are initially less creative, suggesting that the accounting context may be partially contributing to the perceived lack of creativity. However, providing accounting students with process-oriented feedback significantly improves their future creativity, as differences between accounting and non-accounting students are eliminated. The authors contribute to the accounting and creativity literature and discuss implications for accounting education and the profession.

The purpose of this paper is to model and predict suitable gait trajectories of lower-limb exoskeleton for wearer during rehabilitation walking. Lower-limb exoskeleton is widely used for assisting walk in rehabilitation field. One key problem for exoskeleton control is to model and predict suitable gait trajectories for wearer.

In this paper, the authors propose a Deep Spatial-Temporal Model (DSTM) for generating knee joint trajectory of lower-limb exoskeleton, which first leverages Long-Short Term Memory framework to learn the inherent spatial-temporal correlations of gait features.

With DSTM, the pathological knee joint trajectories can be predicted based on subject’s other joints. The energy expenditure is adopted for verifying the effectiveness of new recovery gait pattern by monitoring dynamic heart rate. The experimental results demonstrate that the subjects have less energy expenditure in new recovery gait pattern than in others’ normal gait patterns, which also means the new recovery gait is more suitable for subject.

Long-Short Term Memory framework is first used for modeling rehabilitation gait, and the deep spatial–temporal relationships between joints of gait data can obtained successfully.

Benchmark surveys regarding talent management assessment practices and interventions of choice for organization development (OD) practitioners have shown 360-degree feedback to be a popular tool for both development and decision-making in the field today. Although much has been written about implementing 360-degree feedback since its inception in the 1990s, few longitudinal case examples exist where interventions have been applied and their impact measured successfully. This chapter closes the gap by providing research findings and key learnings from five different implementation strategies for enhancing 360-degree feedback in a large multi-national organization. Recommendations and implications for future research are discussed.

The Internet environment, with its packet‐switched network and lack of resource reservation mechanisms, has made the delivery of low bit‐rate real‐time communication services particularly difficult and challenging. The high potential transmission delay and data packet loss under varying network conditions will lead to unpleasant and unintelligible audio and jerky video play‐out. The Internet TCP/IP protocol suite can be extended with new mechanisms in an attempt to tackle such problems. In this research, an integrated transmission mechanism that incorporates a number of existing techniques to enhance the quality and deliver “acceptable” real‐time services is proposed. These techniques include the use of data compression, data buffering, dynamic rate control, packet lost replacement, silence deletion and virtual video play‐out mechanism. The proposed transmission mechanism is designed as a generic communication system so that it can be used in different systems and conditions. This approach has been successfully implemented and demonstrated using three separate systems that include the Internet Phone, WebVideo and video‐conferencing tool.

The purpose of this paper is to investigate contagion across eight major exchange rates by providing more information on the role of information spillovers.

The empirical analysis makes use of two methodologies that capture channels of contagion. Such methodologies explicitly consider information spillovers characterized by the response of currency markets to real-time macroeconomic surprises, i.e., divergences between expectations and realizations.

The empirical findings denote the presence of contagion effects, originating from information spillovers.

The empirical findings provide insight about how to derive appropriate policy responses, which are crucial for policymakers to understand the source and nature of such exposures, while this insight might have some bearing with respect to the choice of an exchange-rate regime. The results from this paper may also have implications for investors in relevance to portfolio re-balancing and the construction of optimal portfolio diversification strategies.

This is the first empirical attempt that explores the role of informational spillovers in exchange rate markets and also explores the employment of advanced econometric methodologies to satisfy the above research goal.

The purpose of this paper is to show a possibility to measure a change of a contact angle during the melting in real-time and to reveal significant factors of a wettability. Influence of the flux with combination of plasma on copper surface was investigated in experiment as well.

Laboratory equipment consists of heating and optical part that was developed and tested for real-time contact angle’s measurements. Solder balls based on Sn96.5/Ag3/Cu0.5 and Sn63Pb37 spread out on a copper substrate during a melting process. The wettability of pure copper surface was compared with copper surface treated with flux or combination plasma–flux. The contact angle and spreading rate of a melted solder balls observed by the charged-coupled device camera were analyzed in real-time and measured using the JavaScript.

Laboratory equipment allows for analysis of contact angle and spreading rate in real-time during the melting process. The contact angle decreases more noticeable after applying the plasma-flux treatment in contrast to no flux or flux treatment only. Using the plasma treatment before application of the flux improves the wettability and the effectivity of the flux activity on the copper surface during the melting process.

The interpretation of the results of such a comprehensive measurement leads to a better understanding of the mutual relation between flux and combination plasma–flux of the wetting during the melting process. The simple, cheap, fast and accurate laboratory equipment, which consists of the heating and the optical part, allows for the wettability evaluation of the melting process in real-time.

Small-scale VARs are widely used in macroeconomics for forecasting US output, prices, and interest rates. However, recent work suggests these models may exhibit instabilities. As such, a variety of estimation or forecasting methods might be used to improve their forecast accuracy. These include using different observation windows for estimation, intercept correction, time-varying parameters, break dating, Bayesian shrinkage, model averaging, etc. This paper compares the effectiveness of such methods in real-time forecasting. We use forecasts from univariate time series models, the Survey of Professional Forecasters, and the Federal Reserve Board's Greenbook as benchmarks.

The purpose of this paper is to explore the impact of critical, journalistic documentaries on viewers. More precisely, it investigates the effects of responsibility attribution and surprise on stakeholder attitude, trust and identification.

In a quasi-experimental pre-post setting, 127 participants viewed a documentary about Austrian beverage and marketing company Red Bull. The film inquired into the deaths of six extreme athletes sponsored by the company. As a critical, investigative piece, the documentary was designed to give viewers the impression that Red Bull was, at least partially, responsible for the athletes’ deaths.

Results show that responsibility attribution, the feeling of being surprised and being in a state of negative affect, had a significant impact on viewers’ attitude and trust toward, and identification with Red Bull.

The study adds insights on surprise as a factor in viewers’ assessment of responsibility. The study is original in terms of methodology by using real-time rating to ascertain which sequences trigger changes in responsibility attribution among viewers. Furthermore, implications of the study’s findings with regard to inoculation theory are discussed.

The Amalgamation of Functions The requirements of the first engine controllers were primarily to satisfy the needs of the engine and, almost as an afterthought, to consider interface with the aircraft and the pilot. The latter resulted in the overwhelming plethora of “essential” ground test‐sets and cockpit instruments that we see today. In a performance and integrity conscious world, beset with ever increasing costs and sometimes decreasing maintenance personnel skills, the engine controller can no longer be considered in isolation from the rest of the system that it serves. The obvious ability of a digital system to self‐check and diagnose itself, its interface with the real world, and to make intelligent decisions based on those tests, has enhanced the case for digital engine control.