Explore publications.

The rapid advancement of information and communication technologies has profoundly transformed urban governance and tourism development worldwide, giving rise to the concepts of Smart City and Smart Tourism as integrated models of sustainable innovation. In Indonesia, several local governments have adopted Smart City initiatives to enhance public service quality and economic competitiveness. Among them, Bekasi Regency has emerged as one of the leading regions in formulating a comprehensive Smart Tourism planning framework. This study aims to examine the key dimensions of Smart Tourism planning in Bekasi by analyzing how digital transformation, governance innovation, and technological integration are embedded within the regional development agenda. Employing a qualitative approach that combines literature review and in-depth interviews with members of the Bekasi Smart City Council, this research utilizes thematic analysis through NVivo software. The findings indicate that technology and innovation form the core of Bekasi’s Smart Tourism planning, emphasizing three interrelated components: Smart Experience, Smart Business Ecosystem, and Smart Destination. The study also reveals that although digital infrastructure and public service systems have been significantly developed, challenges remain in data management, interoperability, and community digital literacy. It concludes that effective Smart Tourism planning should prioritize data-driven governance, cross-sector collaboration, and community empowerment to strengthen tourism competitiveness and ensure sustainable regional development.

This study aims to examine the effects of price discount and delivery service on purchase decision and their subsequent impact on customer satisfaction and customer loyalty within an urban franchise retail context. A quantitative approach was employed using a survey of 220 consumers of Indomaret Anggrek Rosliana Raya, West Jakarta. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings indicate that price discount has a significant but relatively weak effect on purchase decision, while delivery service demonstrates a stronger influence, highlighting the increasing importance of service convenience in urban retail environments. Furthermore, purchase decision has a substantial effect on customer satisfaction, which in turn strongly influences customer loyalty. The study also confirms a sequential mediation mechanism, where marketing stimuli influence customer loyalty indirectly through purchase decision and customer satisfaction. Unlike previous customer loyalty studies that predominantly examine the direct effects of marketing stimuli on satisfaction or loyalty, this study develops a sequential framework in which purchase decision functions as a cognitive mediator preceding customer satisfaction as an affective mediator. This model extends existing customer loyalty frameworks by demonstrating that loyalty emerges through a two-stage evaluation process rather than through isolated direct relationships.

The transformation of village areas into community-based tourist destinations represents a strategic pathway for achieving sustainable tourism in Indonesia. This study explores the potentials, challenges, and strategic directions for developing Dukuh Mejing, Bantul Regency, as an emerging community-based agro-edutourism village. A qualitative descriptive approach with an intrinsic case study design was employed, involving in-depth interviews, participatory observation, and document analysis. Data were analyzed using the interactive model of Miles, Huberman, and Saldaña, supported by NVivo 12 Plus for coding and thematic mapping.  The results reveal that Dukuh Mejing possesses strong physical and socio-cultural assets, including modern goat farming, rice-based agriculture, and preserved local traditions such as Nyadran and Kenduri. However, key constraints remain in infrastructure, community awareness, and institutional coordination. The SWOT analysis indicates that strategic development should focus on optimizing agritourism and cultural-based experiences, enhancing community capacity, improving accessibility, and adopting digital innovation to expand market reach.  The findings emphasize that collaborative governance, community empowerment, and innovation-driven competitiveness are fundamental to building a sustainable and resilient village tourism model. This study proposes an integrated framework that aligns community-based tourism principles with destination competitiveness and sustainable planning approaches. Practically, the model provides policy insights for local governments to strengthen participatory planning, institutional synergy, and adaptive monitoring systems. Theoretically, it contributes to the understanding of how village tourism destinations can achieve sustainability through community-led innovation and inclusive governance.

This study examines the causes of marketing performance stagnation in a mature and highly competitive industry context and investigates how segmentation, targeting, and positioning (STP) decisions can be reconfigured to support performance recovery. Using empirical analysis of customer transaction and behavioral patterns, the findings reveal that market value is highly concentrated within core segments characterized by stable and repeated purchasing behavior. However, these behavioral insights have not been systematically translated into coordinated STP decisions, resulting in unfocused targeting and generic positioning.  To address this gap, the study proposes a behavior-driven STP approach that reconceptualizes STP as an adaptive decision system rather than a static market planning framework. Under this approach, segmentation serves to identify value structures based on observed customer behavior, targeting functions as a strategic resource allocation decision derived from behavioral intensity and stability, and positioning reflects the consumption context and behavioral motives of core segments.  The study contributes to the industrial marketing management literature by demonstrating how behavior-driven STP operates as an adaptive marketing capability that enables firms to restore strategic coherence and improve marketing effectiveness following organizational and environmental disruptions. Managerially, the findings suggest that firms should institutionalize the use of behavioral customer data, narrow strategic focus toward high-value core segments, and align value propositions with actual usage contexts to enhance performance sustainability in dynamic market environments.

Understanding the determinants of Battery Electric Vehicle (BEV) purchase intention in emerging markets requires rigorous empirical investigation. This study examines the key factors that discriminate between consumers who express interest and those who remain unwilling to purchase BEVs in Indonesia. Using survey data from 281 respondents, discriminant analysis was conducted to assess the influence of product attributes, price perceptions, and demographic characteristics on consumer behavioral intentions. Cross-validation results indicate a hit ratio of 79.4%, surpassing the proportional chance criterion of 63.36%, thereby confirming the model’s predictive validity. The findings reveal that the relatively high upfront purchase price is the strongest discriminating factor, followed by income level and product performance, suggesting that economic evaluations and functional value appraisals dominate consumer decision-making processes. Additional economic considerations—government incentives and operational costs—also significantly differentiate consumer groups. In contrast, demographic variables such as education, age, and gender exhibit limited discriminant power, although younger consumers demonstrate greater openness to BEV adoption. Overall, the results indicate that BEV purchase intention in Indonesia is primarily shaped by cost-related perceptions and assessments of functional product value. Future studies are encouraged to incorporate psychological constructs and utilize longitudinal designs to capture behavioral dynamics over time.

The rapid development of immersive technologies, including Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), presents novel opportunities to enhance tourist experiences and promote sustainable village tourism. This study is particularly significant as Generation Z, as digitally savvy travellers, plays a strategic role in shaping sustainable tourism practices, especially within rural destinations. The research aims to examine the influence of Generation Z’s awareness of immersive technologies on their positive attitudes toward village tourism, visit intentions, and perceptions of the role of immersive technologies in supporting sustainable tourism principles. A quantitative approach was employed using Partial Least Squares Structural Equation Modelling (PLS-SEM). Data were collected through structured questionnaires from 150 Generation Z respondents across various regions who have previously interacted with immersive technologies and plan to visit village tourism destinations. The findings indicate that awareness of immersive technologies significantly enhances positive attitudes toward village tourism, which in turn influences visit intentions and perceptions of immersive technologies’ role in fostering community-oriented sustainable tourism. These results underscore that integrating immersive technologies not only enriches tourist experiences but also supports cultural preservation, local economic empowerment, and sustainable tourism practices. Practically, the findings provide guidance for village tourism managers, policymakers, and stakeholders in designing effective digital strategies to develop community-based sustainable tourism initiatives.

Although halal tourism has attracted growing scholarly attention, existing studies predominantly emphasize market potential, tourist perceptions, and promotional strategies. To date, no research has rigorously examined the probability of Muslim tourists’ visit decisions by integrating halal attributes, religiosity, and attitudes within Indonesia’s five Super Priority Destinations (SPDs). Addressing this gap, the present study applies a quantitative design using a probabilistic logit model based on survey data from Muslim tourists. The findings reveal that the completeness of halal attributes substantially increases the probability of destination choice, while religiosity and positive tourist attitudes further strengthen the likelihood of visits. These results demonstrate that halal tourism decisions can be modelled as a probabilistic function of destination attributes rather than solely as cultural or religious expressions. The study highlights the critical role of Destination Management Organizations (DMOs) in institutionalizing halal standards, thereby enhancing visit probabilities, boosting competitiveness, and ensuring sustainable tourism development.

The purpose of this study is to empirically analyze the performance of liquidity, leverage, profitability, and activities of firms on the Indonesia Stock Exchange during the Covid-19 pandemic based on a quantitative approach. This study uses secondary data from financial reports of firms listed on the Indonesia Stock Exchange that are included in the LQ45 index, which represents the movement of the capital market based on specific criteria. The results reveal that the Covid-19 pandemic has hurt the Indonesian firm’s financial performance. The worst condition has increased the leverage ratio, and the profitability and activity ratio declined, as experienced in several emerging countries. The findings of this research can be a bunch of information for investors in making decisions that these financial ratios are sensitive to economic volatility. In addition, this finding also adds insight to the company's management, especially LQ45 companies, that the company is expected to be able to maintain its financial fundamentals of these ratios. Further research needs to be carried out on how the effects of the Covid-19 pandemic influence financial performance according to the sector type of the firm and conducted in more time series periods.