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Digital transformations of business processes are on the rise and the result is a need for a better understanding of how the elements of intellectual capital (IC) play a role in achieving successful digital project outcomes. New structural capital in the form of digital technologies must be identified and understood. Evolving skills of human capital in assimilating digital elements must also be considered, while collaboration within the development process involving relational capital provides a critical integration among these IC elements. This study illustrates the importance of identifying and managing the integration of IC components within an agile project management framework that are essential to achieving success for a digital initiative. More specifically, this study describes the process by which a multinational technology-based products company successfully developed a dynamic decision support platform utilizing an agile approach to guide a project management team to better manage the company's operations.

This study focuses on a case analysis approach of a multinational commercial and consumer products company. The paper presents existing research on the evolving state of project management for digital initiatives and focuses on agile methods. This study then delves into the case analysis that illustrates how IC played an integral role in the company successfully developing effective decision support involving an interactive dashboard using agile Project Management (PM), which enabled the project management team to better manage resources.

An examination at the case level illustrates that effective management and integration of IC has positive effects on project outcomes. While a balanced approach is evident as a requirement, the unique characteristics of the agile project management approach entails greater emphasis on select elements to adapt to a more dynamic development process.

This work depicts the complexities in providing analytic-based decision support in an agile/flexible project management scenario. This work adds to existing research by illustrating elements within IC categories and the elements' interdependencies that play an essential role in achieving success in this more flexible project environment.

This paper aims to address the development and implementation of “AltPrint,” a slicing algorithm based on a new filling process planning from a variation in the deposited material geometry. AltPrint enables changes in the extruded material flow toward local variations in stiffness. The technical feasibility evaluation was conducted experimentally by fused filament fabrication (FFF) process of snap-fit subjected to a mechanical cyclical test.

The methodology is based on the estimation of the parameter E from the mathematical relationships among the variation of the material in the material flow, nozzle geometry and extrusion parameters. Calibration, validation and analysis of the printed specimens were divided into two moments, of which the first refers to the material responses (flexural and dynamic mechanical analysis) and the second involves the analysis of the printed components with localized flow properties (for estimating the response to cyclic loading). Finite element analysis assisted in the comparison of two snap-fit geometries, one traditional and one generated by AltPrint. Finally, three examples of compliant mechanisms were developed to demonstrate the potential of the algorithm in the generation of functional prototypes.

The contribution of AltPrint is the variable fill width integrated with the slicing software that varies the print parameters in different regions of the object. The alternative extrusion method based on material rate variation was conceived as an “open software” available in GitHub platform, hence, open manufacturing with initial focus on desktop 3D printer based on FFF. The slicing method provides deposited variable-width segments in an organized and replicable filling strategy, resulting in mechanical properties variations in specific regions of a part. It was implemented and evaluated experimentally and indicated potential applications in parts manufactured by the additive process based on extrusion, which requires local flexibilities.

This paper presents a new alternative method for application in an open additive manufacturing context, specifically for additive extrusion techniques that enable local variations in the material flow. Its potential for manufacturing functional parts, which require flexibility due to cyclic loading, was demonstrated by fabrication and experimental evaluations of parts made in acrylonitrile butadiene styrene filament. The changes proposed by AltPrint enable geometric modifications in the response of the printed parts. The proposed slicing and filling control of parameters is inserted in a context of design for additive manufacturing and shows great potential in the area of product design.

The purpose of this study is to identify the consumption intention of Baba Nyonya Peranakan ethnic food among the youth generation by examining the effect of media influence and curiosity.

A causal study through the quantitative method is applied. This study focused on the youth generation, and a total of 219 valid responses were used for hypothesis testing using Statistical Package for Social Sciences and SmartPLS software. Purposive sampling, under non-probability sampling, was used. The data were collected through an online survey. The survey link was disseminated mainly on social media groups.

All of the hypotheses were found to be statistically significant. Media influence was found to directly and indirectly influence the consumption intention of Baba Nyonya ethnic food through attitude and curiosity. The involved stakeholders could also be more alert and improve the strategic planning based on the research finding that can stimulate more interest among consumers, benefiting the national gastronomy heritage tourism development.

The integration of biculturalism is rooted in knowledge about food, media coverage about food and food for social events that influence the formation of national food identity. Baba Nyonya food brings a unique identity with mixed heritage and culture, combined ingredients and recipes between two majority races of Malay and Chinese. However, exposure to ethnic food is lacking and causes the youth generation to unaware and not interested to try ethnic food. This study initiates to examine the effect of media influence and curiosity as food promotion via social media potentially to influence and lead to increased consumption of ethnic food.

The purpose of this study is to explore the agile project management (APM) approach through the contextual ambidextrous lens by overcoming the traditional perspective that separates projects within the opposite planned-exploitation- and emergent-exploration-oriented forms.

This study uses a grounded approach to five different agile-oriented companies for discovering how agile adoption shows both emergent (exploration-oriented) and planned (exploitation-oriented) tensions in a perspective that connects, rather than separates, them.

This study discovers five main categories, namely, approach, objectives, boundaries, leadership and feedback, that capture the tensions between planned and emergent issues of agile projects. The identified variables interact with different intervening conditions of the APM attributes (i.e. road map, product backlog, team backlog and solution delivery), activating different response actions (“exploitation embedded in exploration” and vice-versa), requiring, as a consequence, the need for contextual ambidexterity.

This study identifies different implications based on real project contexts, as the importance of a more complete picture of the APM approach, which also considers the combination of planned and emergent aspects of projects and, as consequence, the needs for dual capacities (T-shaped skills) both at project management and team levels.

This study identifies, in real project contexts, the relevance of integration between the corporate level and the agile project team. This implies the search for constant dialogue, with feedback exchange spread across all levels, also enabled by an integrated leadership approach.

This study highlights agile tensions in a real-world project context by describing how APM connects both explorative and exploitative aspects of change within the same APM initiative, in order to manage such tensions, which differs from previous studies that consider APM in alternation with a linear project management approach as stage-gate.

The authors extend the recent research using the risk component of human resource’s (HR’s) compensation plans to examine the effects of risk components on two strategic outcomes: within-firm temporal change, or strategic variation, and firm strategic divergence from the industry, or strategic deviation. In addition, the authors examine the role of previous financial performance as a boundary moderator condition of the effects of risk components in the compensation plan and firm strategic outcomes.

To examine the effects of low- and high-risk components of executive compensation on strategic variation and deviation over time, the authors collected data from 2,510 companies listed in the Standard and Poor’s 500 index in a panel data format of a 12-year period. The authors gathered financial and other firm-level data from COMPUSTAT, and executive compensation and executive-level data from ExecuComp.

The findings support the main effects of risk components on strategic change, while both high- and low-risk components act on strategic deviation contingent on the moderating role of total shareholder return (TSR). In the theoretical framework, the authors test the moderating role of total shareholder return (TSR) as a boundary condition of the effects of risk components in the compensation plan. In doing so, the authors provide a fine-grained understanding of the influence of compensation plan risk components on outcomes proximal to executives, such as the maintenance of the status quo and the search for financial gains.

New studies can explore a three-way moderating effect on performance indicators, such as TSR, Tobin’s Q and return on asset. The authors addressed this limitation and did a comparative analysis, but the authors did not include additional moderating mechanisms in these interactive effects.

By disaggregating the executive’s compensation based on the risk components, boards of directors can mitigate any possible unwanted biases in the relationship between principal and agent.

By considering the influence of both low- and high-risk components of compensation plans on strategic outcomes –instead of firm performance – this study expands strategy literature supporting the influence of compensation schema on a firm’s outcomes. This path is new because it offers a moderating perspective to understand the strategic deviations and changes that chief executive officers imprint in their firms.

Los autores amplían la investigación reciente usando el componente de riesgo de los planes de compensación de RH para examinar los efectos de los componentes de riesgo en dos resultados estratégicos: cambio temporal dentro de la empresa, o variación estratégica, y divergencia estratégica de la empresa de la industria, o desviación estratégica. Además, examinamos el papel del desempeño financiero anterior como una condición moderadora límite de los efectos de los componentes de riesgo en el plan de compensación y los resultados estratégicos de la empresa.

Para examinar los efectos de los componentes de alto y bajo riesgo de la compensación ejecutiva en la variación y desviación estratégica a lo largo del tiempo, recopilamos datos de 2510 empresas que figuran en el índice Standard & Poor's 500 en un formato de datos de panel de un período de 12 años. Los autores recopilaron datos financieros y de otro tipo a nivel de empresa de COMPUSTAT, y compensación de ejecutivos, y datos a nivel ejecutivo de EXECUCOMP.

Nuestros hallazgos respaldan los efectos principales de los componentes de riesgo en el cambio estratégico, mientras que los componentes de alto y bajo riesgo actúan sobre la desviación estratégica dependiendo del papel moderador del rendimiento total del accionista. En el marco teórico, los autores prueban el papel moderador del Retorno Total del Accionista como condición límite de los efectos de los componentes de riesgo en el plan de compensación. Al hacerlo, brindamos una comprensión detallada de la influencia de los componentes de riesgo del plan de compensación en los resultados próximos a los ejecutivos, como el mantenimiento del statu quo y la búsqueda de ganancias financieras.

al considerar la influencia de los componentes de bajo y alto riesgo de los planes de compensación en los resultados estratégicos, en lugar del desempeño de la empresa, este estudio amplía la literatura de estrategia que respalda la influencia del esquema de compensación en los resultados de una empresa. Este camino es nuevo porque ofrece una perspectiva moderadora para entender las desviaciones y cambios estratégicos que los CEOs imprimen en sus firmas.

los nuevos estudios pueden explorar un efecto moderador de tres vías en los indicadores de rendimiento, como TSR, Tobin's Q y ROA. Abordamos esta limitación e hicimos un análisis comparativo, pero no incluimos mecanismos moderadores adicionales en estos efectos interactivos.

al desagregar la compensación del ejecutivo en función de los componentes de riesgo, las juntas directivas pueden mitigar cualquier posible sesgo no deseado en la relación entre el principal y el agente.

Os autores estendem a pesquisa recente usando o componente de risco dos planos de remuneração de RH para examinar os efeitos dos componentes de risco em dois resultados estratégicos: mudança temporal dentro da empresa, ou variação estratégica, e divergência estratégica da empresa do setor, ou desvio estratégico. Além disso, examinamos o papel do desempenho financeiro anterior como uma condição moderadora dos efeitos dos componentes de risco no plano de remuneração e nos resultados estratégicos da empresa.

Para examinar os efeitos dos componentes de baixo e alto risco da remuneração executiva na variação e desvio estratégico ao longo do tempo, coletamos dados de 2.510 empresas listadas no índice Standard & Poor's 500 em um formato de dados de painel de um período de 12 anos. Os autores coletaram dados financeiros e de outros níveis da empresa da COMPUSTAT, remuneração executiva e dados de nível executivo da EXECUCOMP.

Nossos resultados suportam os principais efeitos dos componentes de risco na mudança estratégica, enquanto os componentes de alto e baixo risco atuam no desvio estratégico contingente ao papel moderador do Retorno Total ao Acionista. No referencial teórico, os autores testam o papel moderador do Total Shareholder Return como condição limite dos efeitos dos componentes de risco no plano de remuneração. Ao fazer isso, fornecemos uma compreensão refinada da influência dos componentes de risco do plano de remuneração nos resultados próximos aos executivos, como a manutenção do status quo e a busca por ganhos financeiros.

ao considerar a influência dos componentes de baixo e alto risco dos planos de remuneração nos resultados estratégicos -em vez do desempenho da empresa- este estudo expande a literatura de estratégia que apoia a influência do esquema de remuneração nos resultados de uma empresa. Esse caminho é novo porque oferece uma perspectiva moderadora para entender os desvios e mudanças estratégicas que os CEOs imprimem em suas empresas.

Novos estudos podem explorar um efeito moderador de três vias em indicadores de desempenho, como TSR, Q de Tobin e ROA. Abordamos essa limitação e fizemos uma análise comparativa, mas não incluímos mecanismos moderadores adicionais nesses efeitos interativos.

Ao desagregar a remuneração do executivo com base nos componentes de risco, os conselhos de administração podem mitigar possíveis vieses indesejados na relação entre principal e agente.

The purpose of this paper is to identify, classify and analyse temporality in information systems development (ISD) literature.

The authors address the temporality and ISD research gap by using a framework – which classifies time into three categories: conceptions of time, mapping activities to time and actors relating to time. The authors conduct a systematic literature review which investigates time in ISD within the Senior Scholars' Basket, Information Technology & People (IT&P), and top two information systems conferences over the past 20 years. The search strategy resulted in 9,850 studies of which 47 were identified as primary papers.

The results reveal that ISD research is ill equipped for contemporary thinking around time. This systematic literature review (SLR) contributes to ISD by finding the following gaps in the literature: (1) clock time is dominant and all other types of time are under-researched; (2) contributions to mapping activities to time is lacking and existing studies focus on single ISD projects rather multiple complex ISD projects; (3) research on actors relating to time is lacking; (4) existing ISD studies which contribute to temporal characteristics are fragmented and lack integration with other categories of time and (5) ISD methodology papers lack contributions to temporal characteristics and fail to acknowledge and contribute to time as a multifaceted interrelated concept.

This work has developed the first SLR on temporality in ISD. This study provides a starting point for ISD researchers and ISD practitioners to test commonly held temporal assumptions of ISD researchers and practitioners.

In response to environmental uncertainty, organizations rely on independent, empowered teams to increase their responsiveness to change. The purpose of this paper is to analyze how objectives and key results (OKRs) can contribute to creating a shared vision which keeps the different, empowered teams aligned.

Through a qualitative study, this paper develops a conceptual model of how OKRs lead to a shared vision. The authors interview professionals in nine organizations differing in size and industry who recently introduced agile, focusing on the main hurdles encountered and benefits obtained from the methodology.

The findings confirm that OKRs are an effective goal-setting methodology and suggest that their successful implementation builds on the new ways of organizing introduced by the agile methods. Moreover, the findings suggest that OKRs contribute to developing a shared vision and increase the alignment: first, the organizational vision becomes clear and its definition is participatory; second at the team level, individuals align around a shared team vision through participative definition of objectives.

The contribution of the paper is two-fold: this study provide an overview on the methodology, which is diffused from a practice perspective, but has not yet been addressed from a theoretical point of view. And this study connects OKRs to extant theory on goal-setting and vision development. This study shows they act as a coupling mechanism which helps empowered and independent teams together.

This paper describes how a pre-service teacher’s knowledge and pedagogy changed as she documented her reflective practice while teaching arts-integrated lessons in a fifth-grade classroom during her pre-service teacher preparation program. The pre-service teacher spent three-months conducting an action research project in collaboration with a university mentor.

This paper explores what she and her mentor learned as she prepared arts-integrated lesson plans based on the four studio structures for learning and analyzed them along with identifying and documenting evidence of deep learning through field notes and video recordings.

Analysis of field notes, video recordings and lesson plans led the authors to take a deeper look at where the four studio structures for learning overlapped in the teaching event. In the data the intersections of the four studio structures shared a pattern of increased evidence of deep learning for the students. This paper describes the phenomenon in the classroom at various points of intersection.

This action research study is preliminary, and the findings are suggestive of further research that would require indexing what deep learning looks like and gathering and analyzing student data.

It is recommended that teachers use the four studio structures to integrate the arts in their classrooms and to enhance and encourage creativity, communication, critical thinking, collaboration, character and culture and as teachers work toward deep learning for students.

This case shows how a university partnership provides fertile ground for educators of all skills and experience to participate in the expansion of the field of education as well as personal and professional development.

The accurate prediction of incoming cash flows enables more effective cash management and allows firms to shape firms' planning based on forward-looking information. Although most firms are aware of the benefits of these forecasts, many still have difficulties identifying and implementing an appropriate prediction model. With the rise of machine learning algorithms, numerous new forecasting techniques have emerged. These new forecasting techniques are theoretically applicable for predicting customer payment behavior but have not yet been adequately investigated. This study aims to close this research gap by examining which machine learning algorithm is the most appropriate for predicting customer payment dates.

By using various machine learning algorithms, the authors evaluate whether customer payment behavior patterns can be identified and predicted. The study is based on real-world transaction data from a DAX-40 firm with over 1,000,000 invoices in the dataset, with the data covering the period 2017–2019.

The authors' results show that neural networks in particular are suitable for predicting customers' payment dates. Furthermore, the authors demonstrate that contextual and logical prediction models can provide more accurate forecasts than conventional baseline models, such as linear and multivariate regression.

Future cash flow forecasting studies should incorporate naïve prediction models, as the authors demonstrate that these models can compete with conventional baseline models used in existing machine learning research. However, the authors expect that with more in-depth information about the customer (creditworthiness, accounting structure) the results can be even further improved.

The knowledge of customers' future payment dates enables firms to change their perspective and move from reactive to proactive cash management. This shift leads to a more targeted dunning process.

To the best of the authors' knowledge, no study has yet been conducted that interprets the prediction of incoming payments as a daily rolling forecast by comparing naïve forecasts with forecasts based on machine learning and deep learning models.

Delay in housing adaptation is a major problem, especially in assessing if homes are suitable for the occupants and in determining if the occupants are qualified for the Disabled Facilities Grant (DFG). This paper describes the development of two self-administered intelligent integrated assessment tools from the DFG Adapt-ABLE system: (1) The Home Suitability Assessment Platform, which is a preventive mechanism that allows assessment of the suitability of homes based on occupants’ mobility status and (2) an indicative assessment platform that determines if the applicants are qualified for the DFG to prevent lengthy delays.

The adopted method aligned with a development study approach: a grounded literature review, a severity measurement approach, two stakeholder engagement workshops, four brainstorming sessions and four focus group exercises. The system development relied on Entity–Relationship Diagram (ERD) technique for data structures and database systems design. It uses DFG context sensitivity with alignment with DFG guidance, interlinkages and interoperability between the assessment tools and other platforms of the integrated Adapt-ABLE system.

The assessment tools are client-level outcomes related to accessibility, usability and activity based on the assessment process. The home suitability platform shows the percentage of the suitability of a home with assessment results that suggest appropriate action plans based on individual mobility status. The indicative assessment combines the function of referral, allocation, assessment and test of resources into an integrated platform. This enables timely assessment, decision-making and case-escalation by Occupational Therapists based on needs criteria and the eligibility threshold.

These assessment tools are useful for understanding occupants’ perception of their physical housing environment in terms of accessibility, suitability and usability based on basic activities of daily living and their mobility status. The indicative self-assessment tool will substantially cut down the application journey. The developed tools have been recommended for use in the CSJ Disability Commission report and the UK government Guidance on DFGs for local authorities in England.