1,720,984 research outputs found
Multi-stakeholder co-creation Analysis in Smart city Management: An Experience from Bandung, Indonesia
AbstractThe rapid growth of urban population implies challenges in city domain from natural resource and infrastructure capacity as the hard aspects to social segregation as the soft aspect. This evolution requires real reflection and actions to attain sustainable development and a better quality of life in the city. The concept of smart city emerges as a strategic innovation to limit the issues arisen by the growth of the urban population and meet urban challenges. Smart city as a multi-stakeholder ecosystem upholds the value co-creation process of related actors within a framework to provide and deliver the expected service. Unlike the analogue era, ICT as the new technology enabler in smart city creates a transition of collaboration form among stakeholders. This paper presents an academic development of multi-stakeholder co-creation analysis in smart city management based on the perspective of service science. The analysis proposes a representative model of stakeholders with the designated values, service flow, and expected final result from the conceptual service platform. The model aims to depict in depth contribution of stakeholders which also leads to an innovation of service platform creation. This approach is carried out within the experience obtained from Bandung as one of the running smart city project in Indonesia. Bandung, which just occupies the integrated stage of the smart city maturity stages, does not allow the harmony of value co-creation. The one-way web-based integration resulted in the limited value creation for the society. This model enables a conceptual direction of becoming a two-ways interaction and creates a more convenient co-creation service ecosystem platform among stakeholders in term of innovation
An experiment on negotiation orientation and entrepreneurship education exposure: preliminary result
The objects of negotiation study include different groups of experts, but managers have been in the spotlight. Developed from a discussion on how entrepreneurship researchers have majorly treated negotiation behaviour like a black box, this study places confidence in the art of entrepreneurial negotiation behaviour revealing why entrepreneurs are more successful in exploiting business opportunities than others. This study investigates the emerging behaviour through a framed field experiment in light of education. The task employed is a multi-issue multi-party negotiation case emphasising on the aspect of buyer-seller negotiation. The participants are students of negotiation course from entrepreneurship and management departments. Initial assessment of participants’ negotiation orientation, cooperativeness or competitiveness, were performed as the treatment and group division. The preliminary result of the study confirms negotiation orientation underlies negotiation behaviour and consequently leverages action and reaction of the negotiators. Our result showcases the entrepreneurs’ openness, flexibility, and adaptability to an uncertain situation
A virtual co-creation model of the hijab fashion industry in Indonesia
All stakeholders, internal and external, need to collaborate to coordinate their thoughts, meanings, and actions to create value together - value co-creation. Sources of ideas and competencies do not only come from internal stakeholders of business but also from external stakeholders such as customers. The lack of collaboration between internal and external stakeholders becomes the issue that may threaten business sustainability. It can be argued that the development of ICT, such as in the form of websites, makes it easier to co-create value. In this article, we present research that looks into virtual co-creation between customers and providers occurring in websites in the hijab fashion industry in Bandung. The research aims to redesign a conceptual model for virtual co-creation based on customers’ motivation. Data were collected using questionnaires and analyzed using partial least square - structural equation modeling (PLS-SEM). The result shows that customers have certain motives when it comes to participating in customer-and-customer interaction and customer-and-provider interaction
Understanding a viable value co-creation model for a sustainable entrepreneurial system: a case study of Batik Solo industrial cluster
This study analyses entrepreneurial system as an intelligent complex organism for a collective goal. Viable system model (VSM) assists the viability investigation process, prescribe and facilitate the agreed improvements from operations to policy management as the highest level of the system. Value co-creation concept from a service science perspective complements the analysis with the external sector by using positive collaborative innovation with customers as a third dimension. The combination of VSM and value co-creation model is applied to the entrepreneurial system of the Batik Solo industrial cluster, as related data has been collected in parallel with the value co-creation research of SBM ITB from 2013-2014. The finding produces a mapping model of the industry, the roles and the improvement from a viable value co-creation point of view that consists of five functional and complete working organs: 1) operation; 2) coordination; 3) integration; 4) intelligence; 5) brain
Urban tourism development for bandung city, Indonesia: a preliminary study
Tourism is undergoing fundamental changes regarding the market, industry structure, and the product or services offered. Motivations and preferences in experiencing a destination have been proliferating in number and range, thereby challenging conventional models of tourism management and planning. Likewise, cities as the key destinations of urban tourism are also constantly changing which intensifies the links between the tourism industry and the urban dynamics. The fundamental concern is understanding tourist motivation and preferences as the input of city features improvement process to actualize an ideal urban tourism symmetrical from bottom-up to top-down interests. The shifting phenomenon to urban tourism as well takes effect in Bandung city. Modernization has an evolutionary effect on tourism activities from cultural-historical tourism towards a more consumptive pattern such as shopping-culinary activities. Thus, this preliminary study employs factor analysis method to explore the variable relationships reasoning the complexity of experience emerged from tourists while visiting a destination. The factor analysis discovers a finding that multiple observed variables have similar patterns of responses in the light of Bandung city tourism: social expression and interactive learning. In addition, this study also applies cluster analysis to strengthen the segmenting of each city feature reflecting to the characteristics of the tourists. It is confirmed that there are five classification of tourist visiting Bandung city: unexplored, light, minded, socialist, updated. The bottom-up result of this preliminary study takes on positioning groundwork of Bandung city as an urban tourism destination
System dynamics model for service quality improvement: a case study of Surakarta tourism, Indonesia
Value co-creation concept implies that customers can actively participate in every stage of the service development process. Service providers are encouraged to build a unique and memorable experience to remain competitive. The concept is applicable in tourism settings. This study adopts system dynamics approach to study the conditions of tourism in Surakarta City, Indonesia. This study incorporates SERVQUAL dimensions of tangibility, reliability, responsiveness assurance and empathy to construct a co-created tourism policy in the city. There are five interventions proposed in the study: infrastructure, platform, human resource, events and promotions. The study reveals that to increase the number of tourists, Surakarta city is urged to invest bigger in the transportation sector and perform interactive online platform to accommodate a co-creation among stakeholders in the tourism sector. This study proposes alternatives to help the decision maker to understand the complexity of tourism sector in Surakarta both in theory and practice
The relationship between self-employed motivation and individual work performance among online drivers in West Java, Indonesia
As a self-employment, the online drivers have faced vulnerability with uncertain situations and over an every day extended period. The uncertain situation has an impact on the instability of their income. Thus, this study aims to investigate the relationship between self-employed motivation and individual work performance. A total of 387 online drivers have participated and selected from four regional areas of West Java, Indonesia through the self-administered questionnaire. The data was analysed using the descriptive statistics and simple linear regression analysis by assisting the SPSS-25. The results of analysis found that the self-employed motivation has a significant positive relationship on individual work performance. In conclusion, the self-employed motivation can increase the individual performance of online drivers in West Java, Indonesia. This study is important for related parties that work on optimising the potential of the self-employment approach in facing the high uncertainty of the workplace environments
Simple heuristics as mental model for staple food choice: an ABM exercise
Our model employs simple heuristics as rules of thumb for binary staple food choices: rice and non-rice. We compare the behaviour of fast-and-frugal tree (FFTree) and tallying models to learn their suitability to model staple food choices. The dynamics that emerge from the uncertain nature of food choice, systematic preference change, and social interactions are presented. With some explainable behaviours, we believe that simple heuristics are effective for capturing more extensive staple food choice dynamics.</p
Classification of Continuous Sky Brightness Data Using Random Forest
Sky brightness measuring and monitoring are required to mitigate the negative effect of light pollution as a byproduct of modern civilization. Good handling of a pile of sky brightness data includes evaluation and classification of the data according to its quality and characteristics such that further analysis and inference can be conducted properly. This study aims to develop a classification model based on Random Forest algorithm and to evaluate its performance. Using sky brightness data from 1250 nights with minute temporal resolution acquired at eight different stations in Indonesia, datasets consisting of 15 features were created to train and test the model. Those features were extracted from the observation time, the global statistics of nightly sky brightness, or the light curve characteristics. Among those features, 10 are considered to be the most important for the classification task. The model was trained to classify the data into six classes (1: peculiar data, 2: overcast, 3: cloudy, 4: clear, 5: moonlit-cloudy, and 6: moonlit-clear) and then tested to achieve high accuracy (92%) and scores (F-score = 84% and G-mean = 84%). Some misclassifications exist, but the classification results are considerably good as indicated by posterior distributions of the sky brightness as a function of classes. Data classified as class-4 have sharp distribution with typical full width at half maximum of 1.5 mag/arcsec2, while distributions of class-2 and -3 are left skewed with the latter having lighter tail. Due to the moonlight, distributions of class-5 and -6 data are more smeared or have larger spread. These results demonstrate that the established classification model is reasonably good and consistent
Impact of overbooking reservation mechanism on container terminal's operational performance and greenhouse gas emissions
Truck appointment systems facilitate coordination between container terminals and drayage trucks in container pick-up operation reservation. However, in many cases, trucks with a reservation do not arrive at the scheduled appointment. As the number of no-shows increases, the container terminal's productivity will plummet, and drayage trucks that failed to get reservations will lose their opportunity to get service. This research proposes an overbooking reservation mechanism (ORM) to alleviate the negative impact of these no-shows. This research scrutinizes the detailed process mapping of the existing reservation mechanism, proposes an ORM, and conducts agent-based simulations to evaluate the ORM's performance against the regular and go-show reservation mechanisms at different levels of no-shows and working occupancies. The application of an ORM can improve productivity and service levels while minimizing such negative externalities as queue length, overtime, and greenhouse gas emissions. High overtime intensities only appear when the container terminal's workload is exceptionally high, at 200% of maximum capacity, with a low level of no-shows. Even in exceptionally high demand conditions, the drayage trucks wait only up to 16 min before receiving service
- …
