TOURISTS SATISFACTION TOWARDS SMART TOURISM SERVICES IN MALAYSIA

Smart tourism projects are already underway across the globe including Tourism Malaysia. In 2018, Tourism Malaysia has launched the Malaysia Smart Tourism 4.0 initiative to take the industry to the next level by capitalizing on the new opportunities of the digital age. Despite the increase in the number of studies on customer satisfaction towards smart tourism services, only a limited number of studies were carried out in Malaysia. Therefore, this research proposes to obtain a better overview of this issue from a Malaysian perspective. The main objective of this study is to analyse the relationship between smart tourism technology attributes, tourist service satisfaction levels and to assess the relationship between the levels of tourist service satisfaction and the intention to use new technology. This study was also carried out to examine the moderating effect of trust on the relationship between smart tourism technology. This study will use a structural equation method to find the relationship between the smart tourism technology attributes of trust, service satisfaction, and the intention to use. This study employs a quantitative method of analysis with a questionnaire that were distributed to Malaysian tourists online. The sample size was selected based on the sample size table used by Krejcie & Morgan (1970). The study expects to find that smart tourism technology attributes are significantly associated with service satisfaction levels, and this it will have a positive effect on the intention to use. Meanwhile, the trust factor will be positively associated with service satisfaction.

A New Taxonomy for Technology-Enabled Diabetes Self-Management Interventions: Results of an Umbrella Review

Background: A 2017 umbrella review defined the technology-enabled self-management (TES) feedback loop associated with a significant reduction in A1C. The purpose of this 2021 review was to develop a taxonomy of intervention attributes in technology-enabled interventions; review recent, high-quality systematic reviews and meta-analyses to determine if the TES framework was described and if elements contribute to improved diabetes outcomes; and to identify gaps in the literature. Methods: We identified key technology attributes needed to describe the active ingredients of TES interventions. We searched multiple databases for English language reviews published between April 2017 and April 2020, focused on PwD (population) receiving diabetes care and education (intervention) using technology-enabled self-management (comparator) in a randomized controlled trial, that impact glycemic, behavioral/psychosocial, and other diabetes self-management outcomes. AMSTAR-2 guidelines were used to assess 50 studies for methodological quality including risk of bias. Results: The TES Taxonomy was developed to standardize the description of technology-enabled interventions; and ensure research uses the taxonomy for replication and evaluation. Of the 26 included reviews, most evaluated smartphones, mobile applications, texting, internet, and telehealth. Twenty-one meta-analyses with the TES feedback loop significantly lowered A1C. Conclusions: Technology-enabled diabetes self-management interventions continue to be associated with improved clinical outcomes. The ongoing rapid adoption and engagement of technology makes it important to focus on uniform measures for behavioral/psychosocial outcomes to highlight healthy coping. Using the TES Taxonomy as a standard approach to describe technology-enabled interventions will support understanding of the impact technology has on diabetes outcomes.

From Potential to Real Threat? The Impacts of Technology Attributes on Licensing Competition—Evidence from China during 2002–2013

Prior studies have extensively discussed firms’ propensity of licensing under different levels of competition. This study clarifies the differences between potential technology competition (PTC) and actual licensing competition (ALC). We investigate the relationship between these two types of competition in the context of Chinese patent licensing landscape, using patent licensing data during 2002–2013. We find that the positive effect of PTC on ALC is contingent upon the nature of licensed patent, such as generality, complexity, and newness. Our findings help scholars and managers interested in licensing to understand and monitor the likelihood of licensing competition. Policy implications are presented at the end of this study.

TEMUAN ARKEOLOGI TERBARU DI BARAT LAUT-UTARA LEMBAH KERINCI, DATARAN TINGGI JAMBI: SEBUAH LAPORAN AWAL

The Latest of Archaeological Finds in the Northwest-North of Kerinci Valley, Jambi Highland: A Preliminary Report. Last decade archeological research in Kerinci area, only focused on the south of Kerinci Lake. This region admittedly has archaeological finds richly and has been reported since the colonial era. The report was followed by research working comprehensively in that region eighty years after. The research revealed that archeological finds in the south of Kerinci Lake came from the neolithic to proto-historic era. However, the finds of earthenware fragments accidentally, have discovered the new information about archaeological finds in the north of Kerinci Lake or the northwest-north of Kerinci valley. The purpose of this research is to map the distribution and describing the character of archaeological finds in the northwest-north of Kerinci valley. This research utilizes a descriptive method worked in three stages, videlicet collecting, analyze, and interpreting data. In collecting the data stage collected the primary data and secondary data. In the analyzing stage, utilized qualitative analysis by noticing form, style, and technology attributes. This research revealed that the northwest-north of Kerinci valley area has artifact finds in the form of cord-marked earthenware, red slipped earthenware, and Chinese ceramics. Furthermore, found the carving-stones (petroglyph) too. Abstrak. Penelitian arkeologi dekade terakhir di kawasan Kerinci hanya terfokus pada kawasan di selatan Danau Kerinci. Kawasan ini memang memiliki tinggalan arkeologis yang cukup padat dan telah dilaporkan sejak era kolonial. Laporan tersebut ditindaklanjuti dengan melakukan penelitian yang lebih komprehensif di kawasan tersebut puluhan tahun sesudahnya. Penelitian tersebut mengungkapkan bahwa tinggalan arkeologis di sebelah selatan Danau Kerinci berasal dari masa Neolitik hingga Protosejarah. Namun, temuan artefak tembikar secara tidak sengaja di situs Siulak Tenang pada 2010, telah membuka pengetahuan baru tentang adanya tinggalan arkeologis di bagian utara Danau Kerinci atau bagian barat laut-utara lembah Kerinci. Penelitian ini bertujuan untuk mengetahui sebaran dan mendeskripsikan tinggalan arkeologi di barat laut-utara Lembah Kerinci. Penelitian ini bersifat deskriptif yang dilaksanakan dalam tiga tahap, yaitu pengumpulan data, analisis data dan interpretasi. Pada tahap pengumpulan data, dilakukan pengumpulan data primer dan data sekuder. Pada tahap analisis data digunakan analisis kualitiatif dengan memperhatikan atribut bentuk, gaya, dan teknologi. Penelitian ini mengungkapkan bahwa kawasan baratlaut-utara Lembah Kerinci memiliki tinggalan artefak berupa tembikar tatap tali, tembikar slip merah, dan keramik Cina. Selain itu, juga ditemukan -batu bergores (petroglif).

The Role of Perceived Smart Tourism Technology Experience for Tourist Satisfaction, Happiness and Revisit Intention

The rapid advancement of smart tourism technology brings new opportunities for tourism development. More travel destinations are relying on smart technology to attract more tourists to visit and enrich their travel experience. The main purpose of this study was to explore whether tourists are satisfied with their smart tourism technology experience (i.e., informativeness, accessibility, interactivity, personalization, and security). This study also investigated the impact of smart tourism technology experience on tourists’ happiness and revisit intention. This study used a structural equation method to find the relationship among smart tourism technology attributes, travel satisfaction, happiness, and revisit intention. Surveys of a total of 527 participants who traveled to Macau from Mainland China were used for the analysis. The results showed that accessibility is the most important factor affecting the smart tourism technology experience and personalization the least. Smart tourism technology experience is shown to be significantly associated with travel experience satisfaction, and travel experience satisfaction has a positive effect on both tourists’ happiness and revisit intention. Finally, tourist happiness is also shown to be positively associated with revisit intention. This study provides theoretical and practical significance for the development of smart tourism in the future.

Confirmation and Validation of Smart Tourism Technology Attributes: the case study of City of Tshwane

The Fourth Industrial Revolution has resulted in the proliferation of the word ‘smart’. The continued use and adoption of smart tourism technologies by tourists is creating a new form of tourist consumption behaviour that is influenced by smart tourism technologies. The notion of smart cities has also emerged. The city of Tshwane has been making strides to become a world class African smart city and such offers the city of Tshwane an opportunity to position itself as a smart tourism destination. Prior to such positioning, it is critical that a research aimed at investigating digital behaviour of tourists visiting the city be conducted. The objective of the current study was to identify and validate the attributes (factors) of the smart tourism technologies that influence a tourist’s destination choice. The study was quantitative in nature. Data was collected by means of a questionnaire with 29 seven-point Likert scale items. A total of 208 questionnaires were collected. Confirmatory Factor Analysis was used to reduce and validate the factors (Attributes). The study identified seven smart tourism technology attributes that influence destination choice, such factors should therefore be considered when designing smart tourism tools aimed to supporting tourist decision making.