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The authors determine how the scheduling and sequencing of surgeries by surgeons impacts the rate of post-surgical complications and patient length-of-stay in the hospital.

Leveraging a dataset of 29,169 surgeries performed by 111 surgeons from a large hospital network in Ontario, Canada, the authors perform a matched case-control regression analysis. The empirical findings are contextualized by interviews with surgeons from the authors’ dataset.

Surgical complications and longer hospital stays are more likely to occur in technically complex surgeries that follow a similarly complex surgery. The increased complication risk and length-of-hospital-stay is not mitigated by scheduling greater slack time between surgeries nor is it isolated to a few problematic surgery types, surgeons, surgical team configurations or temporal factors such as the timing of surgery within an operating day.

There are four major limitations: (1) the inability to access data that reveals the cognition behind the behavior of the task performer and then directly links this behavior to quality outcomes; (2) the authors’ definition of task complexity may be too simplistic; (3) the authors’ analysis is predicated on the fact that surgeons in the study are independent contractors with hospital privileges and are responsible for scheduling the patients they operate on rather than outsourcing this responsibility to a scheduler (i.e. either a software system or an administrative professional); (4) although the empirical strategy attempts to control for confounding factors and selection bias in the estimate of the treatment effects, the authors cannot rule out that an unobserved confounder may be driving the results.

The study demonstrates that the scheduling and sequencing of patients can affect service quality outcomes (i.e. post-surgical complications) and investigates the effect that two operational levers have on performance. In particular, the authors find that introducing additional slack time between surgeries does not reduce the odds of back-to-back complications. This result runs counter to the traditional operations management perspective, which suggests scheduling more slack time between tasks may prevent or mitigate issues as they arise. However, the authors do find evidence suggesting that the risk of back-to-back complications may be reduced when surgical pairings are less complex and when the method involved in performing consecutive surgeries varies. Thus, interspersing procedures of different complexity levels may help to prevent poor quality outcomes.

The authors empirically connect choices made in scheduling work that varies in task complexity and to patient-centric health outcomes. The results have implications for achieving high-quality outcomes in settings where professionals deliver a variety of technically complex services.

In the big data era, image compression is of significant importance in today’s world. Importantly, compression of large sized images is required for everyday tasks; including electronic data communications and internet transactions. However, two important measures should be considered for any compression algorithm: the compression factor and the quality of the decompressed image. In this paper, we use Frei-Chen bases technique and the Modified Run Length Encoding (RLE) to compress images. The Frei-Chen bases technique is applied at the first stage in which the average subspace is applied to each 3 × 3 block. Those blocks with the highest energy are replaced by a single value that represents the average value of the pixels in the corresponding block. Even though Frei-Chen bases technique provides lossy compression, it maintains the main characteristics of the image. Additionally, the Frei-Chen bases technique enhances the compression factor, making it advantageous to use. In the second stage, RLE is applied to further increase the compression factor. The goal of using RLE is to enhance the compression factor without adding any distortion to the resultant decompressed image. Integrating RLE with Frei-Chen bases technique, as described in the proposed algorithm, ensures high quality decompressed images and high compression rate. The results of the proposed algorithms are shown to be comparable in quality and performance with other existing methods.

Disruptive forces, such as the global pandemic and technological innovation, are leading to growing labor uncertainty. For organizations, being able to adapt is a key skill for employees, while adapting to different employment contexts is increasingly essential for career success. This study leverages career adaptability theory and integrated dynamic capabilities to isolate skills enabling career adaptation.

A qualitative study was conducted to develop a skills codebook using a Delphi technique to converge on career adaptation skills, which was validated against leading meta-skills frameworks and a purposeful sample of 15 occupational competency models.

The codebook phase identified 24 distinct meta-skills in 6 clusters: problem-solving, self-reliance, collaboration, communication, core literacies and core workplace skills. Findings confirmed that most of the skills identified by the experts were also present across the meta-skills frameworks.

This study highlights research opportunities, including a recommendation to extend the codebook by conducting a large sample empirical study of occupational competency models.

Adaptive individuals remain attractive in the job market. With the proposed framework, individuals can systematically reflect on ways to develop career adaptation skills. Other stakeholders should support the development of skills that facilitate an individual's capacity to adapt to diverse employment contexts.

This study contributes to resolving the debate on skills contributing to career adaptation by combining the career adaptability theory and integrated dynamic capabilities, to produce a harmonized meta-skills codebook including labels, definitions and synonyms. This study validates the codebook against leading skills frameworks and occupational competency models.

A small group of pioneering founders led the creation and early evolution of the service research field. Decades later, this article shares timeless service wisdom from ten of those pioneering founders.

Bowen and Fisk specified three criteria by which to identify a pioneering founder. In total, 11 founders met the criteria (Bateson, Berry, Bitner, Brown, Chase, Edvardsson, Grönroos, Gummesson, Parasuraman, Schneider and Zeithaml) and were invited to join Bowen and Fisk – founders that also met the criteria as coauthors. Ten founders then answered a set of questions regarding their careers as service scholars and the state of the field.

Insightful reflections were provided by each of the ten pioneering founders. In addition, based on their synthesis of the reflections, Bowen and Fisk developed nine wisdom themes for service researchers to consider and to possibly act upon.

The service research field is in its fifth decade. This article offers a unique way to learn directly from the pioneering founders about the still-relevant history of the field, the founders' lives and contributions as service scholars and the founders' hopes and concerns for the service research field.

Psychotherapy is often used to treat dysfunctional inter-personal relationships, but it is rarely used to treat dysfunctional B2B relationships. Yet many of the variables found in inter-personal relationships are also found in B2B relationships and both types of relationships have similar fail rates. The authors take a multi-disciplinary approach by adapting an instrument from marriage therapy into a new measure called the Business Relationship Health Index (BRHI). In the process we re-evaluate the drivers of B2B relationships.

The authors apply the Global Assessment of Relational Functioning (GARF) psychiatric system to B2B relationships. The GARF instrument incorporates three components: interaction/problem solving, organization/structure and emotional climate. Using US panel data of 500 B2B relationships based in the USA, the authors use partial least squares analysis and develop a structural equation model to test the validity and reliability of the BRHI with some well-known relationship measures including, satisfaction, trust, commitment and performance.

The findings support a strong link between the BRHI (emotion, interaction and organization) and relationship performance. The proposed measure shows a strong link between BRHI and relationship performance (R² = 0.54).

The GARF instrument has never been applied to a B2B context. BRHI is a holistic instrument used for assessing the specific relational characteristics of B2B relationships. The BRHI can benefit relationship stakeholders when used as a diagnostic tool to prioritize B2B investment strategies. Managers can use BRHI to determine the extent to which the relationship is healthy or needs repair, re-evaluation, re-commitment, or repositioning.

The authors examine how performance measurement systems (PMSs) and academic agency influence the meaning of research quality in practice. The worries are that the notion of research quality is becoming too simplistically and narrowly determined by research quality's measurable proxies and that academics, especially manager-academics, do not sufficiently realise this risk. Whilst prior literature has covered the effects of performance measurement in the university sector broadly and how PMSs are mobilised locally, there is only little understanding of whether and how PMSs affect the meaning of research quality in practice.

The study is designed as a comparative case study of two university faculties in Finland. The role of conceptual analysis plays a notable role in the study, too.

The authors find that manager-academics of the two examined faculties have rather similar conceptual understandings of research quality. However, there were differences in the degree of slippage between the “espoused-meaning” of research quality and “meaning-in-practice” of research quality. The authors traced these differences to how the local PMS and manager-academics’ agency relate to one another within the context of increasing global and national performance pressures. The authors developed a tentative framework for the various “styles of agency”. This suggests how the relationship between the local PMS and manager-academics’ exerted agency shapes the “degrees of freedom” of the meaning of research quality in practice.

Given that research quality lies at the heart of academic work, the authors' paper indicates that exploring the three matters – performance measurement, the agency of manager-academics and the meaning of research quality in practice – in combination is crucial for the sustainability of the academe. The authors contribute to the literature by detailing the way in which local PMS and manager-academics' agency have material impacts on what research quality means in practice. The authors conclude by highlighting the pressing need for manager-academics to exercise the agency in efforts to safeguard a broad and pluralistic understanding of research quality in practice.