Essential Capabilities Research Articles

Change competence: An integrative literature review.

Organizations are in a state of continual evolution, driven by the relentless shifts in their external environments. Numerous theories have been proposed to understand the essential skills and capabilities for successful organizational change. Yet, there remains a gap in capturing a holistic view necessary to fully comprehend the dynamics of competence in today's rapidly changing landscape. This research aims to explore and consolidate the concept of 'competence' in the context of organizational change processes. Employing an integrative literature review approach, a total of 3,230 studies were screened. Out of these, 32 studies were selected based on strict relevance and quality criteria, providing a robust foundation for the analysis. The findings reveal a multi-layered nature of organizational change, highlighting that the nature and prerequisites of change vary significantly across different organizational levels. By applying a competence lens, we discern how required competence during change are not uniform but rather vary depending on whether they are applied in an operational or strategic context. This demonstrates a nuanced, level-dependent variability in change competence across the organizational hierarchy. We conceptualize 'change competence' as a dual-faceted construct. It encompasses both the capacity to leverage existing organizational competence and the adeptness to develop new competence, thereby meeting the evolving demands imposed by both internal and external drivers of change. This comprehensive understanding paves the way for more effective strategies in managing organizational change.

Strategies for Career Readiness in the Age of General Artificial Intelligence

Abstract: As artificial intelligence and automation continue to rapidly transform work and skills requirements, preparing both current and future workers for careers in this evolving landscape is imperative. This practitioner-focused research brief explores strategies for developing career readiness in the age of advancing technologies like general AI. Through a review of relevant literature on forecasting AI's labor market impacts and in-demand future skills, key competencies are identified that complement human strengths versus automatable tasks. These include social-emotional abilities, creative and analytical problem-solving, and digital/technical fluency. The brief then outlines evidence-based approaches for cultivating these skills throughout education and careers, such as embedding complementary skills training, investing in lifelong learning pathways, leveraging mentoring, and fostering a growth mindset. Practical organizational examples demonstrate how leading companies are proactively implementing such strategies. The brief concludes that a focus on essential human capabilities empowered by technology portends continued meaningful work and career prosperity.

Custom GPTs Enhancing Performance and Evidence Compared with GPT-3.5, GPT-4, and GPT-4o? A Study on the Emergency Medicine Specialist Examination.

Given the widespread application of ChatGPT, we aim to evaluate its proficiency in the emergency medicine specialty written examination. Additionally, we compare the performance of GPT-3.5, GPT-4, GPTs, and GPT-4o. The research seeks to ascertain whether custom GPTs possess the essential capabilities and access to knowledge bases necessary for providing accurate information, and to explore the effectiveness and potential of personalized knowledge bases in supporting the education of medical residents. We evaluated the performance of ChatGPT-3.5, GPT-4, custom GPTs, and GPT-4o on the Emergency Medicine Specialist Examination in Taiwan. Two hundred single-choice exam questions were provided to these AI models, and their responses were recorded. Correct rates were compared among the four models, and the McNemar test was applied to paired model data to determine if there were significant changes in performance. Out of 200 questions, GPT-3.5, GPT-4, custom GPTs, and GPT-4o correctly answered 77, 105, 119, and 138 questions, respectively. GPT-4o demonstrated the highest performance, significantly better than GPT-4, which, in turn, outperformed GPT-3.5, while custom GPTs exhibited superior performance compared to GPT-4 but inferior performance compared to GPT-4o, with all p < 0.05. In the emergency medicine specialty written exam, our findings highlight the value and potential of large language models (LLMs), and highlight their strengths and limitations, especially in question types and image-inclusion capabilities. Not only do GPT-4o and custom GPTs facilitate exam preparation, but they also elevate the evidence level in responses and source accuracy, demonstrating significant potential to transform educational frameworks and clinical practices in medicine.

Photothermal Catalytic Reduction and Bone Tissue Engineering Towards a Three-in-One Therapy Strategy for Osteosarcoma.

Osteosarcoma is one of the most dreadful bone neoplasms in young people, necessitating the development of innovative therapies that can effectively eliminate tumors while minimizing damage to limb function. An ideal therapeutic strategy should possess three essential capabilities: antitumor effects, tissue-protective properties, and the ability to enhance osteogenesis. In this study, self-assembled Ce-substituted molybdenum blue (CMB) nanowheel crystals are synthesized and loaded onto 3D-printed bioactive glass (CMB@BG) scaffolds to develop a unique three-in-one treatment approach for osteosarcoma. The CMB@BG scaffolds exhibit outstanding photothermally derived tumor ablation within the near-infrared-II window due to the surface plasmon resonance properties of the CMB nanowheel crystals. Furthermore, the photothermally synergistic catalytic effect of CMB promotes the rapid scavenging of reactive oxygen species caused by excessive heat, thereby suppressing inflammation and protecting surrounding tissues. The CMB@BG scaffolds possess pro-proliferation and pro-differentiation capabilities that efficiently accelerate bone regeneration within bone defects. Altogether, the CMB@BG scaffolds that combine highly efficient tumor ablation, tissue protection based on anti-inflammatory mechanisms, and enhanced osteogenic ability are likely to be a point-to-point solution for the comprehensive therapeutic needs of osteosarcoma.

Talent Development with Value-Based Approach in IT Sector

In today's energetic and competitive trade scene, organizations confront the challenge of supporting ability whereas cultivating a culture that adjusts with their center values. This theoretical investigates the concept of ability improvement through a value-based approach, which emphasizes the integration of organizational values into each angle of the worker lifecycle. The establishment of ability advancement with a value-based approach lies within the clear enunciation and communication of the organization's center values. These values serve as directing standards that shape enlistment, preparing, execution administration, authority advancement, and in general organizational culture. Recruitment and determination forms are planned to recognize candidates who not as it were have the essential aptitudes and capabilities but moreover illustrate a solid arrangement with the organization's values. Onboarding programs are organized to immerse unused enlists within the company's culture, emphasizing the significance of maintaining its values from day one. Continuous fortification endeavors, such as customary communication and criticism components, guarantee that the organization's values stay best of intellect for workers at all levels. This continuous exchange permits for the identification of zones for enhancement and the refinement of ability advancement activities to superior adjust with the organization's values. By coordination values into ability improvement forms, organizations make a workforce that's not as it was gifted and able but too profoundly committed to the organization's mission and culture. This approach cultivates a sense of reason, having a place, and shared commitment to fabulousness, eventually driving organizational success in a quickly advancing commerce environment.

Investigating the mediating role of self-efficacy between digital leadership capability, intercultural competence, and employability among working undergraduates

PurposeUtilizing the Social Cognitive Theory framework, this research aims to illuminate how self-efficacy acts as a mediating factor, enhancing employability among working university students by fostering essential capabilities in digital leadership and intercultural competence.Design/methodology/approachQuantitative study with 206 working undergraduates from an Indonesian university. Questionnaires and structural equation modeling (SEM) with SPSS and SmartPLS were used.FindingsFindings showed that working undergraduate students possess a high level of digital leadership capability and intercultural competence and tend to display increased confidence in their ability to perform challenging tasks and attain anticipated outcomes, thereby enhancing their employability. The integration of these skills, coupled with a solid self-efficacy belief, emerges as a powerful combination in the modern employment landscape in the digital transformation and Artificial Intelligence age.Research limitations/implicationsThis research is conducted in one university in Indonesia, potentially limiting its generalizability. Future studies could expand its regions to multiple universities across different countries for a more comprehensive implication.Practical implicationsThis research answered the call for strategies from the university level on enhancing the development of essential competencies for working undergraduate students’ employability. It further highlights the necessity for shaping the curriculum to prioritize digital leadership capability, intercultural competence, and the cultivation of self-efficacy among working students.Social implicationsThis insight of the research has profound social implications, indicating that educational institutions must adapt their curricula to prioritize these competencies. By doing so, universities can better prepare students to navigate the complexities of the modern workplace, thereby contributing to a workforce that is not only technologically proficient but also culturally adept and resilient in the face of challenges. This adaptation is essential for fostering a generation of graduates who are well-equipped to contribute positively to a diverse and rapidly evolving labor market, ultimately benefiting both the individuals and the wider society by promoting economic development and cultural understanding.Originality/valueAdopting a quantitative approach, this research offers a data-driven lens of employability determinants, deepening the understanding of how intertwined competencies shape employment outcomes in the AI age.

Factors influencing value co-creation in cultural and creative enterprises: An empirical study

The empirical validation of the relationship among the capabilities of cultural and creative enterprises (CCE), customer co-creation value, and enterprise value remains insufficient. Therefore, clarifying the essential capabilities for increasing enterprise and customer value is essential. This study explores the factors that influence value co-creation in cultural and creative enterprises and examines how this influences enterprise and customer value. To measure this, a structured questionnaire was distributed to cultural and creative practitioners in Shanghai, China, and AMOS 24.0 was used for structural equation modelling of the obtained survey data. The results confirm the positive impacts of cooperative innovation capability, customer-linking, and service capability on creating enterprise and customer value. Additionally, the results indicate an interactive relationship between enterprise value creation and customer co-creation value in this context. This study provides management insights for product innovation and to enhance customer service and competitive advantage.

Unveiling the mechanism of essential oil action against skin pathogens: from ancient wisdom to modern science.

Essential oils are among the most well-known phyto-compounds, and since ancient times, they have been utilized in medicine. Over 100 essential oils have been identified and utilized as therapies for various skin infections and related ailments. While numerous commercial medicines are available in different dosage forms to treat skin diseases, the persisting issues include their side effects, toxicity, and low efficacy. As a result, researchers are seeking novel classes of compounds as substitutes for synthetic drugs, aiming for minimal side effects, no toxicity, and high efficacy. Essential oils have shown promising antimicrobial activity against skin-associated pathogens. This review presents essential knowledge and scientific information regarding essential oil's antimicrobial capabilities against microorganisms that cause skin infections. Essential oils mechanisms against different pathogens have also been explored. Many essential oils exhibit promising activity against various microbes, which has been qualitatively assessed using the agar disc diffusion experiment, followed by determining the minimum inhibitory concentration for quantitative evaluation. It has been observed that Staphylococcus aureus and Candida albicans have been extensively researched in the context of skin-related infections and their antimicrobial activity, including established modes of action. In contrast, other skin pathogens such as Staphylococcus epidermidis, Streptococcus pyogens, Propionibacterium acnes, and Malassezia furfur have received less attention or neglected. This review report provides an updated understanding of the mechanisms of action of various essential oils with antimicrobial properties. This review explores the anti-infectious activity and mode of action of essential against distinct skin pathogens. Such knowledge can be valuable in treating skin infections and related ailments.

Analyzing Vital Capacity in Short-Term COVID-19 Survivors between 20 to 40 years and over 40 years Population: Understanding Respiratory Health in New Normal situation

COVID-19 global coronavirus is a pandemic caused by coronavirus 2 (SARS-CoV-2). Coronavirus effect on multiple organ dysfunction but pulmonary function is most affected area of a patients. Pulmonary function or vital capacity have significance in the treatment of COVID affected patients. Vital capacity is defined as the maximal volume of air that can be exhaled from the lungs following maximal inspiration. Present study aim is to compare vital capacity between COVID-19 survivors and non-COVID populations. A total of eight hundred fifty-nine (859) subjects of different ages have been selected for the present study. The present study data were collected by the Multi-Functional Spirometer HI-801 for vital capacity, and the digital weighing scale was used for the measurement of body weight. The collected data was analyzed using descriptive statistics, the mean and the standard deviation (SD). An inferential statistically paired and independent t-test was applied to check the level of significance. The significance level was set at p&lt;0.05. The results of this study, male COVID survivors between the ages of 20 to 40 have better vital capacity recovery than male COVID survivors over the age of 40, while female COVID survivors between the ages of 20 to 40 outperform female COVID survivors over the age of 40. Female COVID-19 survivors generally regain essential capabilities far more quickly than male survivors. We conclude that female COVID survivors recover vital capacity much faster than male COVID survivors.

The Effects of Implementing Sustainability and Digitalization Management on Small Shipping Companies’ Competitive

Sustainability and digitalization have been important issues for the world shipping industry in recent years. Shipping companies need to address these issues to be able to thrive for the long run, including the small shipping companies in Indonesia. However, there has not been any empirical study on the effects of implementing sustainability and digitalization management on the competitive advantage of small shipping companies. This study aims to analyze the effects of sustainability and digitalization management, termed Sustainable Shipping Management (SSM) and Shipping Digitalization Management (SDM) respectively, on Indonesian small shipping companies’ competitive advantage (SCA). Since Dynamic Capabilities (DC) and Service Capabilities (SC) are considered to be essential capabilities in creating sustainable competitive advantage based on Resource-Based View (RBV) theory, this study focuses on the roles of DC and SC in mediating the SSM and SDM effects on SCA. It utilized survey method on top management of Indonesian small shipping companies. It used sample from the population, selected using non-probability sampling technique and purposive sampling method. There were 185 respondents from 170 companies qualified to participate in this study. The result shows that SSM and SDM positively affects SCA, either directly or indirectly via the mediations of DC and/or SC. SSM and SDM are both found to contain the elements of DC and SC, therefore their implementations are important for the companies to create and maintain competitive advantage. It provides insights for the owners or the management of Indonesian small shipping companies on how to allocate their limited resources in SSM and SDM to build and strengthen their competitive advantages. It also calls for policies and incentives developed and created by the government and related agencies to assist the small shipping companies to implement sustainable management and conduct digital transformation

Adapted thermodynamical model for the prediction of adsorption in nanoporous materials

In this paper, we introduce a novel, adapted approach for computing gas adsorption properties in porous materials. Our methodology is based on the Dubinin-Polanyi’s adsorption model, and we investigate various frameworks to estimate its required essential components and prediction capabilities. The required components are linked to the physicochemical properties of the adsorbates, such as the vapor saturation pressure and density in the adsorbed phase. To conduct this analysis, we obtain adsorption isotherms for several metal–organic frameworks encompassing a range of pore sizes, shapes, and chemical compositions. We then apply and evaluate multiple combinations of models for saturation pressure and density. After the evaluation of the methods, we propose a working thermodynamic model for computing adsorption isotherms, which entails using the critical isochore as an approximation of the saturation pressure above the critical point and applying Hauer’s method with a universal thermal expansion coefficient for density in the adsorbed state. This framework is applicable not only to simulated isotherms but also to experimental data from the literature for various molecules and structures of different natures, demonstrating robust predictive capabilities and high transferability. Our method showcases superior performance in terms of accuracy, generalizability, and simplicity compared to existing methods currently in use. In light of our results, this method, starting from a single adsorption curve and based on physically interpretable parameters, can predict adsorption properties across a wide range of operating conditions.

Implementing Small Commercial Drones in Land Forces Operations: Considerations for Optimizing ISR (Intelligence, Surveillance, and Reconnaissance)

Abstract This study explores the use of small commercial drones in tactical-level military actions, with a particular focus on optimizing ISR (Intelligence, Surveillance, and Reconnaissance) capabilities. During a 3-day tactical exercise, we analyzed the performance of 9 commercial drones, including DJI Mini 3, DJI Avata, DJI Mini 4, and DJI Mavic. The study demonstrated that these drones provide essential capabilities for real-time information gathering, facilitating rapid decision-making and improving the efficiency of military operations. Significant challenges were also identified, such as limited battery autonomy and vulnerability to adverse weather conditions. The results highlight the need for specialized training programs and an integrated approach that combines advanced technology with military tactics. Our findings suggest that commercial drones can significantly enhance the efficiency of military operations, but increased attention is required to understand the challenges that may arise due to the technological limitations of small commercial drones.

Driving new product development performance: Intellectual capital antecedents and the moderating role of innovation culture

As the expenses associated with new product development (NPD) continue to rise, intellectual capital (IC) plays a critical yet understudied role in influencing NPD performance (NPDP). To address this, we present a comprehensive theoretical framework to empirically analyze how IC provides pharmaceutical companies with essential capabilities to enhance NPDP through the perspective of organizational learning (OL). This study employs a multi-source, time-lagged, and survey-based approach to gather relevant data from pharmaceutical companies. The findings reveal positive relationships between IC components—human, structural, and relational capital— and OL. Moreover, OL emerges as a pivotal predictor of the link between IC components and NPDP. Notably, we uncover that the association between OL and NPDP is moderated by the presence of an innovation culture within organizations. This research significantly contributes to the existing literature by providing new empirical insights into the strategic role of IC in promoting the creation and dissemination of new knowledge within organizations. These insights have substantial implications for practitioners and academics by bolstering firms' capacity for NPDP in knowledge-based sectors.

A comprehensive review of agile techniques in academic institutions for promoting sustainability capabilities

Adaptability, dialogue, creativity, self-confidence, respect, responsibility, emotional intelligence and systemic perspective are a few examples of the critical competencies that must be transmitted using contemporary educational methods and through a changing and developing society, instruments to promote lifetime learning and Education for Sustainable Development (ESD). Due to the active participants and constructionist tenets involved, they have been established; applying agile techniques to the leadership of programs in multiple sectors might be a useful instrument to impart such skills. As a result, the study has started including some examples of applying agile techniques in learning, which gave rise to the term Agile Education (AE). This study conducts a systematic review to examine how this cutting-edge educational instrument has been applied to education to promote important sustainable development features. Results for 10 of the 121 studies reviewed that show a distinct connection among the essential ESD capabilities and AE are provided. It has been demonstrated that AE enhances the accomplishments, contentment and engagement of both instructors and students while fostering an environment for learning that promotes the growth of morally and environmentally conscious people.

The Effect of Job Passion on Innovative Work Behaviors: Analytical Research in the Ministry of Higher Education and Scientific Research

The current research aims to test the impact of Job passion on innovative work behaviors, and the idea of the research revolves around providing a job passion that contributes and supports the innovative work behaviors among the employees of the Ministry of Higher Education and Scientific Research, as the job passion variable includes four dimensions (enjoyment at work, self-motivation, self-identity, and a sense of learning). The innovative work behavior variable has addressed four dimensions (the ability to provide creative solutions to problems, the ability to new ideas and proposals, the ability to change as well as initiate, and the spirit of risk), A sample of the employees of the Ministry of Higher Education and Scientific Research, where a random stratified sample of 328 employees were selected from the study community (2229) relied on the questionnaire for collecting data, and the questionnaires valid for statistical analysis were 322 questionnaires. The research used a number of statistical methods to obtain the results of the questionnaire, especially the simple correlation coefficient (Pearson) and descriptive analysis methods using the SPSS.v23 and AMOS.v23). It has proved the validity of the hypotheses through which a set of results were reached, the most prominent of which is the existence of a relationship between the impact of job passion and its dimensions on innovative work behaviors. The dimensions of the variable of innovative work behaviors above are available, but they do not be at the required level, where the ability to change and generate creative solutions. This requires focusing on them in addressing problems and making appropriate decisions that are based on a correct scientific basis, and the management's view of employees is not limited because they represent essential capabilities and tools for implementing decisions and policies. Paper type: Research paper.

An evaluation of the xenobotic cognitive project: Towards Stage 1 of xenobotic cognition

Xenobot, the world’s first biological robot, puts numerous philosophical riddles before us. One among them pertains to the cognitive status of these entities. Are these biological robots cognitive? To evaluate the cognitive status of xenobots and to resolve the puzzle of a single mind emerging from smaller sub-units, in this article, I juxtapose the cognitive capacities of xenobots with that of two other minimal models of cognition, i.e., basal cognition and nonliving active matter cognition. Further, the article underlines the essential cognitive capabilities that xenobots need to achieve to enter what I call stage 1 of xenobotic cognition. Stage 1 is characterized by numerous cognitive mechanisms, which are integral for the survival and cognition of basal organisms. Finally, I suggest that developing xenobots that can reach Stage 1 can help us achieve sophistication in the areas of evolution of the human mind, robotics, biology and medicine, and artificial intelligence (AI).

Digital health literacy and associated factors among internet users from China: a cross-sectional study

BackgroundAs the internet develops and 5G technology becomes increasingly prominent, the internet has become a major source of health-related information. Increasingly, people use the internet to find health-related information, and digital health literacy is now a set of essential capabilities to improve their health in the digital era. However, little is known about the factors that influencing digital health literacy. This study aimed to assess digital health literacy scores and identify its influencing factors among internet users in China. Additionally, this study explored the participant’s actual skills using an additional set of performance-based items from the Digital Health Literacy Instrument (DHLI).MethodsAn online cross-sectional study was conducted in August 2022. Participants aged ≥18 years were recruited to complete the survey. Data were collected using the Chinese revised version of the DHLI, the self-reported internet use questionnaire, and the sociodemographic questionnaire. We conducted multivariate linear regression analyses to explore the relationships among the sociodemographic variables, behavior of internet use, and the digital health literacy scores.ResultsIn total, 702 participants completed the survey. The mean DHLI score was 2.69 ± 0.61. Multivariate linear regression analyses showed that the age groups 35–49 (β = − 0.08, P = 0.033), 50–64 (β = − 0.161, P < 0.001), and ≥ 65 (β = − 0.138, P < 0.001) were negatively associated with DHL scores. However, education level, including bachelor’s or associate degree (β = 0.255, P = 0.002) and master’s degree and above (β = 0.256, P < 0.001), frequency of health-related Internet usage (β = 0.192, P < 0.001), the number of digital devices used (β = 0.129, P = 0.001), and OHISB (β = 0.103, P = 0.006) showed a positive relationship with DHL scores.ConclusionsThe study findings demonstrate that age, educational levels, number of technological devices used, and greater use of the web for health information were independently associated with DHL scores. Healthcare providers should consider providing training programs tailored to specific sociodemographic factors to improve the ability that find and use accurate information online to meet digital health services, which contributes to enhance their self-management and reduce health disparities.

Adapting to discontinuous technological change from the perspective of knowledge management: a case study from the lighting industry in Lin’an, China

PurposeThis study aims to answer the question of how incumbent firms cultivate dynamic capabilities through knowledge management so that they can efficiently adapt to the changing external environment.Design/methodology/approachThis study adopts a case study approach and collects data through interviews and secondary public information on the lighting industry and two lighting firms in Lin'an, China. It qualitatively examines the challenges and strategic recommendations for incumbent firms in the context of discontinuous technological change from a knowledge management perspective.FindingsIncumbent firms often face a variety of challenges when responding to discontinuous technological change. These challenges include identifying opportunities, overcoming path dependence and dealing with employee resistance to change. To overcome these difficulties, three strategies have been proposed to enhance the dynamic capabilities of incumbent firms through knowledge management: cross-border search helps firms improve their knowledge acquisition capabilities and better understand their environment to identify opportunities; building strategic leadership overcomes path dependence and improves knowledge integration capabilities; organizational learning deepens employees’ understanding of change and enhances organizational knowledge application capabilities.Research limitations/implicationsPrevious research attributes a firm's ability to cope with discontinuous technological change solely to its general resources, which weakens the importance of knowledge management in this context. This study emphasizes the importance of knowledge as a crucial strategic resource in developing the essential dynamic capabilities for incumbent firms to cope with discontinuous technological change.Practical implicationsThis study provides an in-depth analysis of incumbent firms' coping strategies in the new context of discontinuous technological change and further promotes cross-disciplinary research.Originality/valueThis study provides an in-depth analysis of coping strategies in the new context of discontinuous technological change, furthermore theoretically advancing the interdisciplinary research of firm transformation and knowledge management. Meanwhile, it is crucial to identify the preconditions for cultivating dynamic capabilities, especially from a knowledge-based view, which enhances the depth of knowledge management research.

FedAGAT: Real-time traffic flow prediction based on federated community and adaptive graph attention network

Predicting traffic flow is vital for optimizing intelligent transportation systems (ITS) and reducing congestion by forecasting traffic patterns accurately. However, current centralized TFP systems have limitations, e.g., slow training, high communication costs, and privacy concerns. To address these challenges, this study proposes FedAGAT, a system for short-term traffic flow prediction (TFP) based on federated community and adaptive spatial-temporal graph attention networks (AGAT). The FedAGAT system allows for local data processing and sharing only model updates with the server. This enables real-time, scalable, and secure TFP - essential capabilities for efficient ITS. AGAT is employed to capture intricate spatial-temporal dependencies in traffic flow, while federated learning facilitates decentralized learning, enhancing privacy. The FedAGAT prediction process involves four steps: dividing the local subnetwork using spectral community detection, locally training based on global parameters, uploading updated parameters, and creating a global model prediction based on the aggregated parameters. To evaluate the performance of FedAGAT, two real-world traffic datasets were utilized for benchmarking against seven statistical and deep learning models. Results demonstrate that FedAGAT provides relatively higher accuracy for short- and mid-term forecasting horizons. Moreover, FedAGAT predictions closely match real traffic flow values, and the overall performance is comparable to a global model, while requiring less time.

Essential Capabilities for Successful Digital Service Innovation at the Bottom of the Pyramid

Several firms worldwide that attempted to penetrate the bottom of the pyramid (BOP) with digital service innovations have encountered disappointing returns. This article explores what capabilities firms should develop and how they should nourish them for value creation at the BOP. Using the multiple-case method, this study inductively derives persuasion, co-creation, adaptation, and self-sustainability as essential capabilities. Cumulative maneuvering of these capabilities resulted in a sand cone model. Both established incumbents and digital natives benefit from this model, which enables them to safeguard their digital offerings while penetrating or expanding within BOP markets.