Search results

This conceptual paper aims to add context and support to the field of Motivating Language Theory around the area of change and transformation. With this paper, the direction and shape of the change within the field of Motivating Language Theory for practitioners and scholars alike has been expanded.

The design and approach of this conceptual paper is to expand upon the existing literature to create a new framework for organizational learning and a new model for leadership development to support change and change leadership through the integration of Kotter’s Stages of Change, Bolman and Deal’s Four-Frame Model, and Motivating Language Theory. The “methodology” is the infusion of the W. Author & S. Colleague Four-Frame-MLT model with the Bolman & Deal and Kotter – Four-Frame model into one seamless MLT supported/driven Four-Frame change model.

The findings of this conceptual paper are in the form of an integration table that integrates the Bolman and Deal (2021) Kotter Stages of Change and the Four Frames with Motivating Language Forms and Constructs based upon ideas and assertions (guidance) from the Kotter (2007) article. These findings highlight the three concrete steps of the infused model (1) identify the appropriate Stage of Change, (2) select the best frame or frames that address the stage of change, and (3) utilize the appropriate MLT form (action) and construct (language) to execute the change effectively.

The originality of this conceptual paper is in the fusion of Kotter’s Stages of Change, the Bolman and Deal Four-Frames, and Motivating Language Theory. The three components have not been brought together before this paper. In terms of value, this conceptual paper creates an opportunity for those in the real world to have a useful framework to explore change, action/communication, and leadership. For those in academic positions, this paper creates a new starting point for exploring motivating language theory and change.

The authors introduce a new construct, reputational self-awareness (RSA). RSA represents the congruence between how individuals think they are viewed by others (i.e. metaperceptions) versus how they are actually viewed (i.e. other ratings). The authors sought to demonstrate that RSA is a superior predictor of performance indices.

Personality self-ratings from 381 business students and their ratings by 966 others were collected via online surveys. Other raters rated self-raters' personalities as well as their task performance, organizational citizenship behaviors (OCBs) and counterproductive work behaviors (CWBs).

Results indicate that RSA predicts variance in performance above and beyond self-report ratings, and performance is highest when metaperceptions and other ratings of performance are aligned. These results support the use of a multi-perspective approach to personality assessment as a useful tool for coaching and career development.

The authors' results support the use of a multi-perspective approach to personality assessment as a useful tool for coaching and career development. A cross-sectional design was used in which personality and performance data were gathered from respondents, and the P 720 is a relatively new personality instrument.

RSA is a valuable tool for employee development, coaching and counseling because, as extant research and the authors' findings demonstrate, awareness of how others view and judge one, one's reputation is essential information to guide work behaviors and career success. Therefore, a key career-development goal for trainers and counselors should be to use a multi-perspective approach to maximize clients' RSA.

Use of other ratings as opposed to traditional self-rating of personality provides superior prediction of behavior and is more useful for career development.

This is the first study to demonstrate utility of RSA, i.e. that individuals who more accurately assess their personality are rated as performing better by others. The authors' results offer new insights for personality research and career development and support the use of personality assessment from multiple perspectives, thus enabling the exploration of potentially insightful research questions that cannot be examined by assessing personality from a single perspective.

When an individual leaves evidence to suggest that they are dead to mislead others, they are committing “pseudocide.” This study aims to examine pseudocides performed for the purpose of committing or concealing a financial crime.

This manuscript summarizes information from both academic and nonacademic publications. To provide evidence related to the conclusions made by prior authors and identify the risk factors that are often indicative of pseudocide, this manuscript examines the characteristics of pseudocides that received media coverage.

Pseudocides that receive media coverage often involve a prominent figure or a compelling story. These stories are not representative of the average pseudocide, which receives no publicity because it occurs in a less developed nation and is committed by a nonpublic figure. Common characteristics include the absence of a corpse and paperwork procured through bribery.

One of the only academic papers focused on pseudocide, this manuscript provides readers with information related to the scope of the issue, common methodologies and factors indicative of pseudocide. This should be of interest to several parties including forensic accountants, insurers, regulators and academics.

To cope with intensifying uncertainties coupled with the rapid advancement of information communication technology (ICT), understanding how to encourage employees' innovative workplace behavior (IWB) is imperative, with two motivational concerns: (1) the possession of critical knowledge resources characterized by intellectual capital (IC) to better reconfigure new and existing knowledge and (2) the development of career sustainability to handle ICT-enabled intricate job arrangements. The authors investigate the relationships among IC, career sustainability and IWB in Chinese cross-border e-commerce enterprises (CEEs), which are becoming increasingly prevalent and central to the global economy.

Using data collected from 417 participants employed in Chinese CEEs, the authors used regression analyses to test the authors' hypotheses.

Human capital (HC) and structural capital (SC) exerted inverted U-shaped influences on IWB, while relational capital (RC) was positively related to IWB. Perceived career sustainability positively moderated such associations between HC and IWB and between SC and IWB; perceived career sustainability negatively moderated the positive RC-IWB relationship.

Results can inform managers which components of IC and how managers are related to IWB so crucial for success of CEEs with ICT-enabled, intricate architectures of knowledge exchange. The authors' results can help global managers and policymakers to more appropriately allocate scarce knowledge resources to maximize innovative behaviors in the highly competitive international business context.

From the knowledge-based view (KBV) of firm innovation, the authors examine the differential effects of IC components on employee IWB amid coronavirus disease 2019 (COVID-19) through a novel lens of employees' perceptions of career sustainability, enriching the literature at the intersection of IC, knowledge management (KM) and career development. The authors' cross-level analysis links micro-level variables to organizational IC in the new normal.

This research sought to examine the potential association between workers’ financial worry and counterproductive work behavior. Based on the basic psychological need theory, we propose that psychological need satisfaction explains this relationship and we position this volitional pathway as an alternative to a cognitive capacity pathway based on the cognitive load theory.

We conducted a two-week interval-lagged survey study with three measurement points among 180 US workers. The mediation models were tested using structural equation modeling.

The results support the conclusion that, while cognitive capacity could have an impact on counterproductive work behavior, its mediating effect is less strong than that of need satisfaction.

Based on the results, we recommend that organizations design their compensation and benefits system to shield employees from financial worries. At the same time, we advise offering the employees who do experience financial worries assistance in managing their budgets and offering other forms of financial coaching.

This study is innovative because we show that the negative effects of financial worry extend much further than initially thought and affect not only employees' cognition but also their motivation.

Based on signaling theory, this paper aims to explore the impact of supply chain transparency (SCT) on firms' bank loan (BL) and supply chain financing (SCF) in the context of voluntary disclosure of supplier and customer lists.

Based on panel data collected from Chinese-listed firms between 2012 and 2021, fixed-effect models and a series of robustness checks are used to test the predictions.

First, improving SCT by disclosing major suppliers and customers promotes BL but inhibits SCF. Specifically, customer transparency (CT) is more influential in SCF than supplier transparency (ST). Second, supplier concentration (SC) weakens SCT’s positive impact on BL while reducing its negative impact on SCF. Third, customer concentration (CC) strengthens the positive impact of SCT on BL but intensifies its negative impact on SCF. Last, these findings are basically more pronounced in highly competitive industries.

This study contributes to the SCT literature by investigating the under-explored practice of supply chain list disclosure and revealing its dual impact on firms' access to financing offerings (i.e. BL and SCF) based on signaling theory. Additionally, it expands the understanding of the boundary conditions affecting the relationship between SCT and firm financing, focusing on supply chain concentration. Moreover, it advances signaling theory by exploring how financing providers interpret the SCT signal and enriches the understanding of BL and SCF antecedents from a supply chain perspective.

The case was developed from two 2-h interviews with the Chief Operating Officer of A-Basin, Alan Henceroth; there is no CEO of A-Basin. The second interview was recorded on a Zoom call to provide accuracy of quotations and information. A variety of secondary sources were used in terms of better understanding the current state of the ski industry, as well as its history.

Arapahoe Basin (A-Basin) is a historic, moderately sized, ski area with proximity to metropolitan Denver, Colorado. For over 20 years A-Basin partnered with Vail, allowing skiers to use the Vail Epic Pass, for which A-Basin received some revenue from Vail for each skier visit. The Epic Pass allowed pass holders unlimited days of skiing at A-Basin. More and more skiers were buying the Epic Pass, thus increasing the customer traffic to A-Basin. However, the skier experience was compromised due inadequate parking, long lift lines and crowded restaurants. The renewal of the contract with Vail was coming due, and A-Basin had to consider whether to renew the contract with Vail. The case is framed primarily as a strategic marketing case. The authors use Porter’s five forces model to assess the external environment of A-Basin, and the authors use the resource-based view and the VRIO tool to assess A-Basin’s internal strengths. Both frameworks provide useful analysis in terms of deciding whether to continue A-Basin’s arrangement with Vail or end the contract and pursue a different strategy. In 2019, after consultation with the Canadian parent company Dream, A-Basin made the decision to disassociate itself from the Epic Pass and Vail to restore a quality ski experience for A-Basin’s customers. No other partner had ever left its relationship with Vail. An epilogue details some of A-Basin’s actions, as well as the outcomes for the ski area. Generally A-Basin’s decision produced positive results and solidified its competitive position among competitors. Other ski areas have since adopted a similar strategy as A-Basin. A-Basin’s success is reflected in a pending offer from Alterra, Inc., to purchase the ski area.

The A-Basin case can be used in both undergraduate and graduate strategic (or marketing) management courses. It is probably best considered during the middle of an academic term, as the case requires students to apply many of the theoretical concepts of strategy. One of the best books to enable students to use Porter’s five forces is Understanding Michael Porter by Joan Magretta (Boston: Harvard Business Review Press, 2012). Magretta was a colleague of Porter for many years and was an Editor of the Harvard Business Review. For a discussion of the VRIN/VRIO concept, see Chapter 4 of Essentials of Strategic Management by Gamble, Peteraf and Thompson (New York: McGraw-Hill Education, 2019).

The purpose of this study was to conduct a preliminary analysis of the role of higher education institutions (HEIs) in state climate science assessment (CSA) and state climate adaptation plan (CAP) development in the USA.

This study uses a content review of US state government and land grant (LG) university websites, including 36 CSAs and CAPs. These data informed the development of a tiered conceptual model of HEI engagement in state climate action planning. The conceptual model is evaluated through the lens of coproduction within knowledge networks.

HEI contributions to state-level climate action planning in the USA are highly variable, ranging from minimal engagement to defined roles in the development and implementation of robust state CAPs. Novel approaches to optimize effective exchange between scientists and decision-makers that also increase the engagement of academia are needed.

This study advocates for and provides a replicable example of HEI engagement in the development of mechanisms that increase the connectivity of in-state climate networks. Such mechanisms optimize information sharing and engagement, consequently building sustained capacity for in-state collaboration at the science–policy interface.

HEIs, particularly LG universities, are a stable source of state-specific climate science and expert assistance that persist beyond national and state political cycles. To the best of the authors’ knowledge, this research is the first to examine their unique contributions to climate science policy development and implementation. It investigates specifically the relationships and interactions between HEIs and state governments in the USA and offers a detailed case study from the state of Maine.

To present an analytical framework for conducting critical dialogic accounting and accountability-based participatory action research to further democratisation, social change and empowering marginalised groups, and to reflect on its application in a Bangladeshi nongovernmental organisation's microfinance program.

The framework, synthesising prior CDAA theorising and agonistic-inspired action research, is described, followed by a discussion of the methodological challenges when applying this during a ten-year, ongoing intervention seeking greater voice for poor, female borrowers.

Six methodological issues emerged: investigating contested issues rather than organisation-centric research; identifying and engaging divergent discourses; engaging marginalised groups, activists and/or dominant powerholders; addressing power and power relations; building alliances for change; and evaluating and disseminating results. The authors discuss these issues and how the participatory action research methods and analytical tools used evolved in response to emergent challenges, and key lessons learned in a study of microfinance and women's empowerment.

The paper addresses calls within and beyond accounting to develop critical, engaged and change-oriented scholarship adopting an agonistic research methodology. It uses a novel critical dialogic accounting and accountability-based participatory action research approach. The reflexive examination of its application engaging NGOs, social activists, and poor women to challenge dominant discourses and practices, and build alliances for change, explores issues encountered. The paper concludes with reflective questions to aid researchers interested in undertaking similar studies in other contentious, power-laden areas concerning marginalised groups.

Contractors must check the provisions that may cause disputes in the specifications to manage project risks when bidding for a construction project. However, since the specification is mainly written regarding many national standards, determining which standard each section of the specification is derived from and whether the content is appropriate for the local site is a labor-intensive task. To develop an automatic reference section identification model that helps complete the specification review process in short bidding steps, the authors proposed a framework that integrates rules and machine learning algorithms.

The study begins by collecting 7,795 sections from construction specifications and the national standards from different countries. Then, the collected sections were retrieved for similar section pairs with syntactic rules generated by the construction domain knowledge. Finally, to improve the reliability and expandability of the section paring, the authors built a deep structured semantic model that increases the cosine similarity between documents dealing with the same topic by learning human-labeled similarity information.

The integrated model developed in this study showed 0.812, 0.898, and 0.923 levels of performance in NDCG@1, NDCG@5, and NDCG@10, respectively, confirming that the model can adequately select document candidates that require comparative analysis of clauses for practitioners.

The results contribute to more efficient and objective identification of potential disputes within the specifications by automatically providing practitioners with the reference section most relevant to the analysis target section.