Business & IT最新文献

Firm level strategic decision-making with data science & analytics 公司层面的战略决策与数据科学和分析

Business & IT Pub Date : 2022-01-01 DOI: 10.14311/bit.2022.01.25

Michael Sienna Goldstein

引用次数: 0

Off-plan property sales as an innovative financing option in real estate development 期房销售作为房地产开发中一种创新的融资选择

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2023.01.13

K. K. Katwa, Luke M. Obala

{"title":"Off-plan property sales as an innovative financing option in real estate development","authors":"K. K. Katwa, Luke M. Obala","doi":"10.14311/bit.2023.01.13","DOIUrl":"https://doi.org/10.14311/bit.2023.01.13","url":null,"abstract":"Real estate development is fraught with many uncertainties leading to serious shortages particularly of affordable housing for the majority of urban population. As a consequence, development developed a fairly innovative financing strategy – off plan sales. The strategy has emerged as an alternative source of finance, presenting developers with a chance to obtain funds from would-be buyers of the units in their proposed development. In spite of the huge significance of off-plan property sales and its growing popularity in the global platform, there is limited knowledge in this strategy as a financing option. The paper aims at sought to determining the challenges and constraints of off-plan property sales, as a financing strategy to the developers and as an investment to the property buyers and recommending appropriate mechanisms of enhancing it. Data was collected through a combination of different tools including questionnaires and key informant interviews. The study established that off-plan sales is an effective mode of financing real estate development since it generates significant savings on the cost of development, mainly through savings on interest to the tune of between 4% - 8.5% of the total cost of development. In the end, it emerged that the success of financing through off plan sales requires among others: establishment of an optimal mix in financing options; careful planning; early and vigorous marketing of the development; pre-qualification of potential off-plan buyers; the need for due diligence by buyers prior to purchase of the off-plan units; and the need for legal framework regulating off-plan sales.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121190830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Business continuity in South Africa during Covid-19 pandemic: digital technology perspective 2019冠状病毒病大流行期间南非的业务连续性:数字技术视角

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.02

Thirunesha Naidu, M. Hoque

{"title":"Business continuity in South Africa during Covid-19 pandemic: digital technology perspective","authors":"Thirunesha Naidu, M. Hoque","doi":"10.14311/bit.2022.01.02","DOIUrl":"https://doi.org/10.14311/bit.2022.01.02","url":null,"abstract":"South Africa, like many other countries globally, implemented a lockdown in an attempt to contain the spread of the coronavirus which has had an adverse effect on business operations and sustainability. Minimal information is available concerning the impact of digital technology utilisation on business continuity during such a pandemic. Therefore, this study aimed to determine the impact of digital technology on business continuity during this period at a South African Testing, Inspection and Certification (TIC) company. A cross-sectional study was conducted among 59 employees and data were collected using an online anonymous questionnaire for the different types of digital technology used pre-pandemic and during the pandemic, as well as its impact on interactions and work expectations. Results revealed that the company used virtual meetings, cloud storage, electronic job systems, telecommunications, messaging applications, business intelligence solutions, big data analytics, and online training. There were moderate positive relationships found between the types of technology and business continuity during the pandemic. Areas for continual improvement were reported as network connectivity, communication, and training. It is recommended that post-COVID-19, companies need to continually evaluate the use of digital technology to further reduce the time spent by employees on manual processes thereby improving productivity to provide better customer service and enhance competitive advantage.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130923281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Role of big data analytics & it in sustainable healthcare services across Europe 大数据分析及其在欧洲可持续医疗保健服务中的作用

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.11

Adina Evangeline Rogerson, Daniella Jadie Cansdale

引用次数: 0

Credit unions and data analytics: How sophisticated analytics can drive profitability for local credit unions 信用合作社和数据分析:复杂的分析如何推动当地信用合作社的盈利能力

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2023.01.08

Jackson Andreana Millerman

{"title":"Credit unions and data analytics: How sophisticated analytics can drive profitability for local credit unions","authors":"Jackson Andreana Millerman","doi":"10.14311/bit.2023.01.08","DOIUrl":"https://doi.org/10.14311/bit.2023.01.08","url":null,"abstract":"Although Big Data analytics is not only pertinent for a specific world of technology, many business segments gain tremendously from the use of innovative mathematical designs, in addition to statistical designs, like data mining, artificial intelligence, and predictive analysis. If it is a query that is information volume made in a bank or perhaps some financial institution is good, it's absolutely a yes. As per the newest survey, it is discovered that banks globally aim not just on improving asset quality and fulfilling regulatory conformity, but additionally on the hunt for an electronic convergence method to reach clients effectively in providing services and products. As almost all info made in net banking as well as ATM transactions is unstructured, accounting for approximately 2.5 quintillion bytes invaluable for client satisfaction, risk management, and fraud detection, the use of trending Big Data Analytics techniques could be used to deal with the difficulties and competition among banks. But there are surplus advantages of the Big Data method in the banking region. In this specific paper, we have produced an analysis of Big Data Analytics on banking apps and their related concept.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123435978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How healthcare industry in Arabs can use data science for sustainable healthcare practices 阿拉伯的医疗保健行业如何利用数据科学实现可持续的医疗保健实践

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.22

Chisis Mohammed Faiyaad, Abayomi Bin Hakim Sadiki

{"title":"How healthcare industry in Arabs can use data science for sustainable healthcare practices","authors":"Chisis Mohammed Faiyaad, Abayomi Bin Hakim Sadiki","doi":"10.14311/bit.2022.01.22","DOIUrl":"https://doi.org/10.14311/bit.2022.01.22","url":null,"abstract":"To date, the healthcare business hasn't fully understood the prospective bene?ts to be acquired from big data analytics. Although the continuously growing body of academic investigation on large data analytics is mainly technology-oriented, a clear understanding of the strategic implications of big data is urgently needed. To handle the absence, this particular analysis examines the historical development, architectural style, and portion functionalities of big data analytics. From content evaluation of twenty six BDA implementation instances in healthcare, we could determine five big data analytics capabilities: analytical capability for patterns of attention, unstructured details, analytical capability, choice support capability, predictive capability, then traceability. We additionally mapped the benefits driven by big data analytics in terminology of info technology infrastructure, organizational, operational, strategic and managerial locations. Additionally, we recommend five approaches for healthcare organizations contemplating adopting big data analytics solutions. Our findings will help healthcare organizations understand the big data analytics capabilities and potential benefits and support them in drafting more effective data-driven analytics strategies.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123712687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How financial firms can leverage big data analytics for developing strong consumer loyalty 金融公司如何利用大数据分析来培养强大的消费者忠诚度

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.08

M. Sazu, S. Jahan, Daniul Thomas Isenberg

{"title":"How financial firms can leverage big data analytics for developing strong consumer loyalty","authors":"M. Sazu, S. Jahan, Daniul Thomas Isenberg","doi":"10.14311/bit.2022.01.08","DOIUrl":"https://doi.org/10.14311/bit.2022.01.08","url":null,"abstract":"A powerful technological shift and altered consumer expectations influence the banking industry in USA. Banks have far more data about their customers than other industries. Innovative solutions and methods have been created on the basis of mathematical statistical versions. This knowledge is used to focus on the buyer, and it is termed as \"Accounts\" and \"Big Data\" also to have the ability to offer items that fit exactly from the info gained. The primary reason for this particular analysis is to investigate how \"Big Data Analytics \" could be discussed and utilized as a renewable client loyalty instrument. The examination of the subject is carried out in the following rational order: Background, research question, and introduction, hypotheses and methods, conclusion and discussion, directions and limitations for more research. When working with Big Data Analytics, you will find various perspectives, e.g. from the bank's perspective and from the bank client's point of view. To answer the question of renewable client loyalty from the consumer perspective, the connection between Analytics and \"Big Data\" and the concepts of client advisory will be investigated. This particular newspaper provides the end result of an empirical evaluation based on a survey from September 2021 in USA.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125771687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Decision-making in large corporations - role of big data analytics & data mining 大公司的决策——大数据分析和数据挖掘的作用

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.17

Christophar Nicholas Hendstein, Hiroshi Akeera Katsu

{"title":"Decision-making in large corporations - role of big data analytics & data mining","authors":"Christophar Nicholas Hendstein, Hiroshi Akeera Katsu","doi":"10.14311/bit.2022.01.17","DOIUrl":"https://doi.org/10.14311/bit.2022.01.17","url":null,"abstract":"Function - The goal of this particular paper is presenting a novel framework for strategic decision making utilizing Big Data Analytics methodology. Design/methodology/approach - In this particular research, 2 distinct machine learning algorithms, Random Forest as well as Artificial Neural Networks are used to forecast export volumes working with a considerable level of open industry information. The forecasted values are in the Boston Consulting Group Matrix to conduct strategic industry analysis. Results - The proposed technique is validated utilizing a hypothetical case study of a Chinese business exporting freezers and refrigerators. The results indicate the proposed methodology makes exact trade forecasts and helps to conduct strategic industry evaluation properly. Furthermore, the RF performs much better compared to the ANN in terminology of forecast accuracy. Investigate limitations/implications - This analysis provides just one case study to evaluate the proposed methodology. In future scientific studies, the validity of the suggested technique is further generalized in various item groups and nations. Functional implications - In present day extremely competitive business environment, a good strategic industry evaluation involves exporters or importers making much better predictions along with strategic choices. To us the proposed BDA based strategy, businesses may efficiently determine business opportunities and alter their strategic choices appropriately. Originality/value - This's the very first study to provide a holistic methodology for strategic industry evaluation using BDA. The proposed methodology effectively forecasts global trade volumes and helps with the strategic decision making practice through succeeding insights into worldwide marketplaces.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123258294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Consumer retail industry and profitability: The role of analytics 消费零售业与盈利能力:分析的作用

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2023.01.17

Kristina Candance Rogermann, Abdel Al Shahtelab

{"title":"Consumer retail industry and profitability: The role of analytics","authors":"Kristina Candance Rogermann, Abdel Al Shahtelab","doi":"10.14311/bit.2023.01.17","DOIUrl":"https://doi.org/10.14311/bit.2023.01.17","url":null,"abstract":"As the retail industry gets extensively competitive, the ability to optimize business processes while gratifying customer expectations has never been more essential. Consequently, managing and channelizing info to work to client delight & generate whole revenue is crucial to survive prosperously. In the circumstance of big show players globally and in America, info or perhaps rather big data analytics is now used for every phase of the show progression, tracking emerging items which are common, forecasting potential sales and demand through predictive simulation, optimizing product placements and offers by customer heat mapping, and several others. Alongside this specific, determining the customers are extremely prone to be sharp on certain merchandise sorts based on their prior actions, working out the easiest technique to target them through certain marketing initiatives, and finally working out what to advertise them following will be the point that forms the middle of data analytics. This particular statement will be the product of a descriptive exploration of yesteryear, present and future of the retail industry, and the application of business analytics in shaping suitable marketing methods.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125080184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of social media analytics on digital innovation 社交媒体分析对数字创新的影响

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.06

Ashapurna Debikumari Roy, Krantikola Omritokumari Das

{"title":"Impact of social media analytics on digital innovation","authors":"Ashapurna Debikumari Roy, Krantikola Omritokumari Das","doi":"10.14311/bit.2022.01.06","DOIUrl":"https://doi.org/10.14311/bit.2022.01.06","url":null,"abstract":"This paper explores the creation of value with the interactions of consumer and expert stakeholders in digital innovation ecosystems. We look at this by using the methodological strategy of social media Analytics that is an interdisciplinary approach which seeks to combine, expand and adapt techniques for analyzing social networking information. By utilizing the SMA framework to observe user generated contents posted on social networking platforms, we evaluate just how consumer and expert stakeholders associate value to Spotify, a new entrant in the Swedish publishing business which offers digital subscription service for streaming audiobooks. Drawing out of a dataset of 2,633 user generated contents, our findings illustrate the value creating methods where stakeholders within Spotify's ecosystems associate value to Spotify's digital innovation. The findings of ours more highlight which the value creating methods arising out of the interactions of consumer and expert stakeholders in social networking give rise to the hybridization of value, in which several types of value groups merge in the studied situation. This analysis contributes to extant literature on management of innovation and info systems by shedding light on the way great is produced by evaluating value creating methods as an outcome of the interactions between stakeholders and checking out the ensuing merging of value groups inside digital innovation ecosystems and hence exploring the hybridization of worth.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121975125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Business &amp; IT最新文献

Business & IT最新文献