Business Expectations Research Articles

Minat Menggunakan E-Wallet pada Generasi Milenial dengan Pendekatan UTAUT (Unified Theory of Acceptance Use of Technology)

This study aims to examine the influences of the factors contained in the UTAUT theory to the interest in using e-wallets for the millennials. This study used the analysis of Structural Equation Modeling (SEM) with SmartPLS software. The sample used is 100 millennials respondent in Kota Bengkulu. The sampling technique used was purposive sampling. The purposive sampling is used because this study requires certain criteria such as the age of the respondents in the birth range 1981-2000, using an e-wallet and live in Kota Bengkulu. The data collection technique used google form questionnaire and shared to millennials through social media such as WhatsApp, Instagram, and Facebook. The results of this study indicate that three of the factors in the UTAUT tested consisting of business expectations, social influences, and facility conditions have a positive and significant influences to the interest of the millennials to use e-wallets in Kota Bengkulu, while the performance expectation factor does not have a positive and Significant influences to millennials interest in using e-wallets in the Bengkulu City

GENDER IN MOBILE WALLET ADOPTION BY USING UTAUT MODEL

Mobile wallets (m-wallets) have replaced physical wallets and also replaced the use of debit and credit cards. This study aims to analyze the effect of gender on m-wallet adoption by using the UTAUT model. The research used quantitative approach with primary data was done by distributing online questionnaires. The sample was using purposive sampling and obtained 290 m-wallet users in Batam City who made a transaction through digital-based payment application during five months. The data analysis utilized SEM Partial Least Square. The results showed that performance and business expectations, social influence, and facility conditions had positive and significant effects on the intention to use m-wallets in Batam City, while gender did not have the effect in its relationship.

Analisis Peneriman Sistem Ujian CBT Menggunakan Metode UTAUT (Unified Theory of Acceptance and Use of Technology) di Lingkungan Kampus

Information system technology has been applied to all organizations, both organizations and non-profits, even though the development of information technology has been felt by the education sector. Slowly technology began to replace some of the work and activities carried out by humans. However, today's technology is still not perfectly applied. This study tries to get an idea of how the participants respond using computer technology in carrying out their exam process or better known as the Computer Based Test (CBT) based exam. Respondents were selected as many as 100 people who are willing to fill out the research questionnaire. To get good analysis results, this study uses a problem-solving method, namely by using the Unified Theory Acceptance and Use of Technology (UTAUT) with various constructs. As a result, the UTAUT method explains the acceptance of CBT users with the business expectation performance (PE) construct which has a significant effect on the acceptance and use of a system (BIUS). To measure the level of variation in the change in the independent variable on the dependent variable or the highest R-Square value in the UTAUT method is 73%. From these results it can be concluded that the UTAUT method is the best method used in this case study research.

Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology

Machine learning is an established and frequently used technique in industry and academia, but a standard process model to improve success and efficiency of machine learning applications is still missing. Project organizations and machine learning practitioners face manifold challenges and risks when developing machine learning applications and have a need for guidance to meet business expectations. This paper therefore proposes a process model for the development of machine learning applications, covering six phases from defining the scope to maintaining the deployed machine learning application. Business and data understanding are executed simultaneously in the first phase, as both have considerable impact on the feasibility of the project. The next phases are comprised of data preparation, modeling, evaluation, and deployment. Special focus is applied to the last phase, as a model running in changing real-time environments requires close monitoring and maintenance to reduce the risk of performance degradation over time. With each task of the process, this work proposes quality assurance methodology that is suitable to address challenges in machine learning development that are identified in the form of risks. The methodology is drawn from practical experience and scientific literature, and has proven to be general and stable. The process model expands on CRISP-DM, a data mining process model that enjoys strong industry support, but fails to address machine learning specific tasks. The presented work proposes an industry- and application-neutral process model tailored for machine learning applications with a focus on technical tasks for quality assurance.

Exploring a Culture of Health in the Auto Industry

The Culture of Health framework includes four pillars of societal health and well-being influenced by business, namely: consumers; employees and workers in the supply chain; the community, and the environment. The Auto industry was an ideal crucible in which to explore the interface of public health with business given the confluence of the different domains in this sector. The substantial benefits of mobility, especially for the under-resourced, sit alongside negative impacts from emissions, accidents, products and services. Through interviews with 65 senior executives from seven major automakers, corporate actions reflecting health as a strategic agenda were mapped to the Culture of Health model. While most of the companies did not use the language of health explicitly in their strategy, key examples were present across all four pillars. Given the future of mobility relies on the interface of human experience with technology, it is a population-level challenge demanding system-level changes. Ostensibly, a framework for sustainability, the Culture of Health model could help the Auto industry navigate the disruption caused by the global megatrends and changing societal expectations of business in society and transition successfully to a new mobility economy.

BEHAVIOURAL ANALYSIS IN THE VILLAGE FUND SYSTEM USING THE UTAUT METHOD

The information system aims to simplify, accelerate, and be responsible. The behavior in the use of technology is an essential part of achieving good village financial management using the Unified Theory of Acceptance and Use of Technology (UTAUT) approach. The population of this research is all village government offices in Tegal Regency. This research is a quantitative study with primary data and a convenience sampling method. This research sample is village apparatus that is directly related to the village fund system (SISKEUDES). Meanwhile, the data analysis of this study uses SPSS software. The test results show that performance expectations negatively affect business expectations, social influences, and conditions that facilitate a positive and significant impact.

The impact of the COVID-19 pandemic on business expectations

We document and evaluate how businesses are reacting to the COVID-19 crisis through August 2020. First, on net, firms see the shock (thus far) largely as a demand rather than supply shock. A greater share of firms report significant or severe disruptions to sales activity than to supply chains. We compare these measures of disruption to their expected changes in selling prices and find that, even for firms that report supply chain disruptions, they expect to lower near-term selling prices on average. We also show that firms are engaging in wage cuts and expect to trim wages further before the end of 2020. These cuts stem from firms that have been disproportionally negatively impacted by the pandemic. Second, firms (like professional forecasters) have responded to the COVID-19 pandemic by lowering their one-year-ahead inflation expectations. These responses stand in stark contrast to that of household inflation expectations (as measured by the University of Michigan or the New York Fed). Indeed, firms’ one-year-ahead inflation expectations fell precipitously (to a series low) following the onset of the pandemic, while household measures of inflation expectations jumped markedly. Third, despite the dramatic decline in firms’ near-term inflation expectations, their longer-run inflation expectations have remained relatively stable.

The Impact of the COVID-19 Pandemic on Business Expectations

We document and evaluate how businesses are reacting to the COVID-19 crisis through August 2020. First, on net, firms see the shock (thus far) largely as a demand rather than supply shock. A greater share of firms report significant or severe disruption to sales activity than to supply chains. We compare these measures of disruption to their expected changes in selling prices and find that, even for firms that report supply chain disruption, they expect to lower near-term selling prices on average. We also show that firms are engaging in wage cuts and expect to trim wages further before the end of 2020. These cuts stem from firms that have been disproportionally negatively impacted by the pandemic. Second, firms (like professional forecasters) have responded to the COVID-19 pandemic by lowering their 1-year ahead inflation expectations. These responses stand in stark contrast to that of household inflation expectations (as measured by the University of Michigan or the New York Fed). Indeed, firms' 1-year ahead inflation expectations fell precipitously (to a series low) following the onset of the pandemic, while household measures of inflation expectations jumped markedly. Third, despite the dramatic decline in firms' near-term inflation expectations, their longer-run inflation expectations remain reasonably well-anchored.

Ethical fashion consumption: Market research and fashion sustainability in Canada and beyond

Today’s consumers are very connected and knowledgeable and have very high expectations of businesses in terms of corporate social and environmental responsibilities. Yet, researchers have demonstrated the existence of a behaviour gap between consumers’ intention and their action. While they expect brands to be more responsible and are willing to pay more from the ones that ‘do good’, that willingness to purchase more ethical products fails to translate to a concrete purchase in reality. This behaviour gap is a real challenge to ethical fashion brands, a challenge that must be addressed in order to support the growth of the market and ensure that sustainability truly becomes the fashion industry framework. This chapter supports to a certain extent the arguments of the Professors Kate Fletcher (University of Arts London) and Lynda Grose (California College of Arts) in favour of creating longer-lasting garments through the design for sustainability approach. Their work has, among other things, put the user back to the centre of discussions and his relationship with clothing and how this relationship should affect systemic change in the industry. The purpose of this chapter is to bring the consumer behavioural paradox to light and to share through a case study one way ethical fashion brands could bridge consumers’ expectations and thus empower them in their choice to live more sustainably.

Real Sector Business Outlook and the Effectiveness of Monetary Policy on the Real Sector in Nigeria

The effectiveness of monetary policy on the real sector has been a major concern of the monetary authority in Nigeria, over a few years ago. This has resulted in series of regulatory actions of the Central Bank of Nigeria (CBN) to ensure more funds/credit are channeled to the sector, in line with the policy objectives of the government to improve the sector. The inability of the real sector investors to meet up with their loan repayment obligations sometimes restricts the flow of this credit from the banking system to the sector, thereby jeopardizing the efforts of the monetary authority. This study, while investigating this concern, observed a similar trend pattern between real sector business outlook and real productive activities; this warranted the inclusion of this variable in the model that was estimated with SVAR. The results revealed a significant estimate of 7.95583; which is a contemporaneous response of credit to real sector to shocks from real sector business outlook. Also, an average of 0.21% variation in real output is explained by structural innovations from real sector business outlook. This means that as business or macroeconomic environment improves, the real investors invest more by accessing credit from the banking system; also, the banks are more confident of loan repayment, as the improved macroeconomic environment is expected to support business growth.

(Re)Constructing the European Economic Sentiment Indicator: An Optimization Approach

The last recession in Europe has shown us that econometric models that factor in the qualitative perceptions and expectations of businesses and consumers—along with commonly used quantitative macroeconomic variables—can produce better results in explaining and forecasting economic activity. The European Commission’s Business and Consumer Surveys (BCS) conducted by the European Commission (EC) are high-quality source for this kind of “soft” variables. One of the composite indicators based on BCS is the economic sentiment indicator (ESI), which is the main leading indicator for overall economic activity. We propose two new models for constructing the ESI. The first model is based on minimizing the sum of absolute values of estimation errors. The second model is based on maximizing the number of correctly predicted directions of change for GDP growth rates. Rather than using the EC’s official standardization procedure for data, our models use “raw” data, thus simplifying the process of preparing the data. The models were tested for various prognostic horizons (up to four quarters in advance), using aggregated quarterly data for the European Union from 1996Q4 to 2019Q2. The results show that our new models significantly improve the ESI’s predictive power, especially in predicting the direction of change of GDP growth rates, which is the main purpose of the BCS indicators. The best results are obtained for predictions made up to one quarter in advance, for which the second model correctly predicts the direction of change of GDP growth rates in 78.89% of cases versus the official ESI’s 65.56%.

Business Outlook and Financing Alternatives of Finnish Entrepreneurs During the COVID-19 Crisis

This paper reports findings from a survey of 1,008 Finnish small-and-medium-sized enterprises (SMEs) on their business outlook and financing alternatives during the COVID-19 crisis as of June 2020. Sales have dropped by an average of 25%. The decline in revenues is generally uncorrelated with the number of coronavirus cases in a municipality, except in the hospitality industry and the arts, entertainment and recreation industry. 54% of respondents have applied for public subsidies, while only 16% have applied for a new loan from the bank. Across the cross-section of firms, firms reporting a larger loss of revenues and with a more precarious financial position at the end of 2019 (high debt and/or low cash) were more likely to apply for both direct grants as well as loans.

Are Expectations for Businesses That ‘Do Good’ Too High? Trade-Offs between Social and Environmental Impact

There has been increasing pressure in recent years for firms to pursue social and environmental impact alongside profits. In this paper, the question is raised of whether or not expectations of firms to ‘do good’ are too high. Drawing on organisational identity theory, the pursuit of social and environmental impact is argued to create transitive tension. An empirical analysis of 138 Certified B Corporations confirms that a focused way of ‘doing good’ is more prevalent and that social and environment impact are negatively related. Moreover, younger firms and those firms with a minority or female owner are found to be more positively associated with social, rather than environmental, impact. Implications are discussed.

Sentiment Analysis of Twitter Data

The World Wide Web has taken seriously new ways for individuals to convey their views and conclusions on different topics, models and issues. Clients create content that resides in a variety of media, such as web gathering, conversation gathering, and weblogs, and provide a solid and generous foundation for gaining momentum in different areas such as advertising and research. Policy, logic research, market forecasts and business outlook. Hypothesis research extracts inferences from information available online and orders the emotions that the author conveys for a particular item into up to three predefined categories (good, negative, and unbiased). Identify the problem. This article outlines a hypothesis review cycle for quickly ordering unstructured news on Twitter. In addition, we are exploring different ways to perform a detailed emotional survey on Twitter News. In addition, it presents a parametric correlation of strategies considered according to recognized boundaries. This work tends to make the case enjoy investigating on Twitter; The values communicated in them represent the tweets: positive, negative or fair. Twitter is an online thumbnail that contributes to a blog and a wide range of interactions, allowing customers to create short 140-character short instructions. It is a fast growing association with more than 200 million subscribers, of which 100 million are dynamic customers and half of them constantly sign up for Twitter, generating around 250 million tweets every day. Due to this overwhelming use, we plan to achieve a biased impression of the public by breaking the estimates communicated in the tweets. Researching public opinion is important for some applications, for example, when companies are looking to respond to their material, predict political careers, and anticipate economic wonders like stock trading. The function of this to build a useful classifier for the command in a precise and programmed way of the stream of fuzzy tweets.

Business Expectations and Adaptation Strategies by Firms against COVID-19 Induced Economic Downturn: Evidence from India

Did innovating firms experience improved business expectations during the pandemic? Using a survey of Indian firms conducted in June 2020, we explore whether innovating into a new product line or adapting to e-commerce platforms improved business outlook. To address the endogeneity of innovation/adaptation due to downturn in future sentiments, we use structural equations framework which relates the six-month ahead expectations of key demand (new orders) and supply variables (labour costs and raw material costs) to the two innovation strategies. Innovation strategies are in turn determined by unobservable latent variables of past demand- and supply-side shocks (experienced due to the Coronavirus pandemic and its associated lockdown in India). For expectations regarding new orders, we find that both the innovation strategies had a positive and significant impact. The innovation strategies had a mixed impact on the supply side sentiments. While firms which adopted to e-commerce were less likely to report higher expected labour costs six months in the future, neither of the two strategies improved expectations regarding raw material costs. Our paper is the first to explore the mutual relationships between business outlook, adaptation strategies and firm characteristics in India during the pandemic.

Analysis of Acceptance of Vocational High School e-Report in Temanggung District Using the UTAUT Model (Unified Theory of Acceptance and Use of Technology)

This research examines the abuse of access rights of users of the VHS e-Report application which are not in accordance with the rules set by the Government. Therefore, this study aims to: (1) find the factors that affect the acceptance rate of the application of the e-Report of Vocational High Schools (VHS); and (2) find factors that do not affect the acceptance rate of implementing VHS e-Report. This research uses quantitative methods with an ex-post facto approach. This research was conducted at 4 Vocational High Schools in Temanggung Regency, namely Jumo State Vocational School, Dr Sutomo Temanggung Vocational School, Bhumi Phala Parakan Vocational School, and Vocational High School 17 Parakan. The population of all VHS was 432 respondents, while the sample is selected by proportional random sampling of 204 respondents. The data collection instrument used an online (google form) and offline (handout) questionnaire. The research questionnaire was compiled based on the UTAUT (Unified Theory of Acceptance and Use of Technology) model variables which have been adjusted to the conditions of the research field. The data analysis technique uses quantitative descriptive analysis with the PLS-SEM (Partial Least Square-Structural Equation Model) method which applies a bootstrap model to test the hypothesis. The results of this study concluded that there were: (1) factors that had a positive effect on the acceptance rate of VHS e-Report, namely business expectations, social influence, facilitation conditions, and behavioral intentions. The most influential factor was the intention to behave with the value of the path coefficients 0.412; and (2) factors that did not affect the acceptance level of the VHS e-Report application were performance expectations, age, and regulations. The least influential factor was the performance expectancy which was moderated by age with the path coefficients value of -0.188. The study on the acceptance of the VHS e-Report application in Temanggung Regency can be used as a recommendation in determining how to increase the use of the VHS e-Report application in accordance with access rights.

The role of innovation in the growth of the company: A case of the emerging country

Major technological changes, the development of management, and its functions have influenced companies to launch more and more innovative products and services every day, even if these are inventions or improvements in their specific products or services. Innovation is a difficult process, but very valuable and effective for achieving the intended results. Knowing that Kosovo has had a difficult history in the recent past, from this paper we can see that there has been a pretty good technological development and an increase in knowledge by managing quite well the knowledge that has served in the establishment level of service and production, attracting foreign investors, and thus influencing a better economic development thanks to innovations from the above factors. This study examines all types of innovation whether they are product or process and service including their forms which are incremental or marginal innovations and any other form related to innovation and in any form that has influenced or is expected to positively affect the performance of the organization. These conclusions could also be used for the purposes of any business plan analysis for opening a new business or expanding an existing business, comparing search results with current ones and new business expectations. Very little research has been done on the impact of innovation on the growth of firms in Kosovo, but this paper shows concretely this impact by understanding them closely through interviews conducted with firms

A Consideration on the Current Issues and Future Outlook of 3PL Business

A Consideration on the Current Issues and Future Outlook of 3PL Business

Verification Process of Data Combination for Problem-solving: A Case of a Residential Area Selection System

Expectations for new businesses and research and development that combine data and technologies from different fields have risen, owing to the global trend of big data and artificial intelligence technology. Under these circumstances, a massive amount of data can be accumulated and reused; value creation through data exchange has been attracting attention as a new source of innovation. However, there is a large gap between the data utilization plan and problem solving using actual data. There are different evaluation indicators and issues to be overcome at each stage of the development process: generation of data utilization plans, collection of actual data, data analysis, and implementation. In this study, we verified the feasibility of a data utilization plan created at the Innovators Marketplace on Data Jackets, a workshop-style forum for discussing data combinations. We set the theme of “indicator formulation for selecting residential areas,” which is an urgent issue in city planning and urban development, as a use case. The demonstration experiment of data combination that was conducted over half a year, the realization process, and the issues considered at each development phase are discussed. This case study is expected to be useful for future innovation creation through interdisciplinary data collaboration.

Trend and forecast of advanced technology field ～ The current state and expectation of sleep business ～

Trend and forecast of advanced technology field ～ The current state and expectation of sleep business ～