Business Apps Research Articles

Mobile business apps and employee productivity

PurposeHoping to increase the productivity of their employees, firms provide and expect their employees to use approved mobile apps. However, despite an intuitive appeal, the relationship between information technology usage and productivity is still seen as paradoxical. This study examines the relationship between employees' experience and engagement with business mobile apps provided by employers and its effects on employee work productivity.Design/methodology/approachData from respondents who use employer-provided business apps were used to test the hypotheses. Measurement-corrected latent scores extracted from the PLS measurement evaluation were used in regression-centric assessment using PROCESS.FindingsResults indicate that employee-users’ experience-based attributions of the business app, i.e. customization, performance quality and compatibility, have positive effects on productivity mediated by participation intensity. Further, work type (retail vs non-retail) and the depth of the employee user’s experience moderate experience-based attributions' indirect effects on productivity.Originality/valueUnlike previous studies delving into this topic, this study focuses solely on the mediation and moderation effects for hypothesis testing. Specifically, this study investigates effects conditional on work type (retail vs non-retail), which the authors believe has significant implications for retailing. These findings have interesting implications for both future research and managers.

Membangun CRM (Customer Relationship Management) Pada Usaha UMKM Bola Ubi di Kota Batam

Sustem of the developing technological advances for various business sectors, namely Micro, Small and Medium Enterprises (MSMEs) its call CRM. MSMEs keep up with technological developments by innovating in order to survive and reinforce the long-term relationships that are fostered between businesses and customers. The aim is to help MSMEs automate sales, marketing, and increase customer attention by providing services through social media to support MSME services better in business development, with the topic of how to build customer relationship management (CRM) in the UMKM Bola Ubi Batam City business. The results that Bolaubi Batam UMKM in building Batam City Customer Relationship Management (CRM) uses 3 stages, namely acquire, enhance, and retain. The CRM system that has been implemented is good and is very suitable for Bolaubi's MSME business in utilizing technology through social media, namely whats app business, Instagram, web, Facebook, web, and grabfood, gofood and shoopee food applications used as a form of business interaction tool and operational system support currently running between UMKM Bolaubi and customers and reaching more new customers. This application is made according to customer needs, so that customers increase with better service, long-term relationships are maintained with customers, it is also a solution in the ease of transactions, information and communication with UKMK Bola Ubi.

Implementation of Cloud Computing Based on Infrastructure as a Service (IaaS) to Improve Transaction Quality (Case Study Shop of Central Mart Pekanbaru)

An virtually infinite number of connected information and communication technology (ICT) resources can be found using a method known as cloud computing. Customers can use these resources on-demand over a network in the form of a public IP because both infrastructure and applications are fully owned and managed by third parties.To enhance staff performance and services in the context of transactions made by parties engaged in the buying and selling industry, a computer-based system is required, particularly for cashiers who handle customer payment transactions. There are still a lot of cashier programs available today that can only be accessed via a device linked to the same network or over the local network.In order to facilitate transactions and enable remote control, this research makes use of cloud computing technology that employs Infrastructure as a Service (IaaS) offerings. IaaS is a service that "rents" out fundamental information technology resources, such as storage space, computing power, memory, operating systems, network capacity, and others, so that customers can use them to execute their applications.Azure gives developers access to tools like Visual Studio and the ability to construct applications in a variety of languages, including.NET, Java, and Node.js. Because businesses don't have to worry about the expense of server equipment, implementing cloud computing can make it simpler for them to manage their business apps and finances. The ability for store administrators to use this program remotely (online) may then be aided or made simpler by this IaaS solution.

AUTOMATIC TASK ASSIGNING FOR EMPLOYEE USING ODOO FRAMEWORK

Odoo is a Belgian suite of business operation software tools including, for illustration, CRM,e- commerce, billing, account, manufacturing, storehouse, design operation, and force operation. Odoo experience which took place in Belgium in October 2022, Fabien Pinckaers blazoned that moving forward Odoo will make all operations available for free in the enterprise edition, making Odoo an unequaled suite of 70 integrated business apps. The Community interpretation is libre software, certified under the GNU LGPLv3. The Enterprise interpretation has personal redundant features and services. The source law for the frame and core ERP modules is curated by the Belgium- grounded OdooS.A. Odoo is available for both on- demesne and ready- to- use SaaS surroundings. The source law for the OpenObject frame and the core ERP modules are handed by Belgium- grounded OdooS.A. OdooS.A( formerly OpenERPS.A) has released the core software as open source.( 4) Since the V9.0 release, the company has transitioned to an open- core model, which provides subscription- grounded personal enterprise software and pall- hosted software as a service, in addition to the open- source interpretation. In 2013, the not- for- profit Odoo Community Association was formed to promote the wide use of Odoo and to support the cooperative development of Odoo features.( 5)

A Survey of Parallel Message Authentication and Hashing Methods

Background:
 Currently, there are approximately 4.95 billion people who use the Internet. This massive audience desires internet shopping, information exchange, social networking, and other activities that have grown dramatically in recent years. Therefore, it creates the need for greater confidentiality and privacy. In recent days, fraud via the Internet has been one of the key impediments to the dissemination of the use of business apps. Therefore, the three important security concerns actually occur daily in our world of transparent fashion, more accurately: identity, authentication, and authorization. Identification is a procedure that permits the recognition of an entity, which may be a person, a computer, or another asset such as a software programmer.
 Materials and Methods:
 In security systems, authentication and authorization are two complementary procedures for deciding who may access the information resources across a network. Many solutions have been presented in the literature. To get more performance on the authentication algorithmic, researchers used parallelism to increase the throughput of their algorithms. On the one hand, various approaches have been employed to enhance the security of cryptographic systems, including increasing the number of rounds, utilizing substitution tables, and integrating other security primitives for encryption and message authentication.
 Results:
 Recent studies on parallel message authentication and hashing algorithms have demonstrated that GPUs outperform other parallel platforms in terms of performance.
 Conclusion:
 This work presents a parallel implementation of message authentication techniques on several platforms. It is studying and demonstrating works which discuss authentication, hashing, and their implementation on a parallel platform as a main objective.

A Permission Control Assistant Tool Design for Smart Power Terminals

With the rapid development of smart power terminals equipped with embedded operating systems, business APPs have emerged rapidly along with them. Since various business APPs have excessive access to system resources, this will lead to the waste of system resources, and at the same time, the system security is not guaranteed. Therefore, in this paper, based on the context-aware program access control hardware resource framework, an auxiliary tool is designed to control the access of business APPs with excessive authority. The auxiliary tool trains the model through the steps of training sample collection, sample data processing, feature extraction, parameter selection, and model training. By conducting simulation experiments, the results show that by using the auxiliary tool proposed in this paper, the device can well identify the business APPs with excessive privileges and reduce the abuse of related resources with a small load, which has almost negligible impact on the users’ usage.

The mobilisation of food delivery gig economy workers (riders)

The food delivery app business has grown in recent years, with an increasing number of customers and workers on these platforms. Food delivery apps are also an iconic example of the increasing precarity of working conditions. Delivery app workers have mobilised to demand greater stability and regulation, with one of their main demands being to switch from their current status as self-employed workers to being employees of these companies. However, in Spain, those who want to remain self-employed have also mobilised, demanding better wages and improved conditions from the platforms. In this article, we focus on the mobilisation of delivery workers in Spain, exploring the characteristics of the main actors involved and the evolution and current situation of the conflict.

DEEP REVIEW ON ALOPECIA AREATA DIAGNOSIS FOR HAIR LOSS-RELATED AUTOIMMUNE DISORDER PROBLEM

Lots of women all over the globe are affected by thinning hair, and the number of females suffering from the disease is growing per year. Another important component in the development of thinning hair is genetics. One of the most important goals is to make a clinical condition. For example, in the area of medicine, categorization is critical since one of the primary goals of the doctor is to determine whether or not a patient suffers from an illness. Alopecia areata is a kind of chronic illness that causes baldness in the affected region. AA may cause baldness for a variety of causes thus, testing may be essential to confirm if it is the source of the loss of hair. Machine learning approaches have shown promise in a variety of fields, including dermatology, and may be useful in identifying alopecia areata for better prediction and diagnosis. Proper detection of an illness is also influenced by the fluctuating character of illness signs. Deep learning algorithms for identifying hair loss levels in males using facial pictures in this research. In this situation, a special training database, including face photos with varying degrees of baldness, has been generated. Furthermore, despite the limited accessibility of hairs in such images, a matching approach for mechanically categorizing face images to design categorization tables of male baldness from the medical field is provided. The outcomes of the experiments demonstrate the potential and efficiency for medical, security, and business apps. Related work in machine learning for hair illness categorization has also been addressed. The main objective of this study to analyze several machine learning and deep learning strategies for the identification of alopecia as well as in humans, as well as to determine the accuracy of extracting features methodologies.

A Gap Analysis of Yogyakarta Smart City Project (within the Dimension of Smart Governance and Smart Economy)

The COVID 19 Pandemic exposed digitalization as a fundamental aspect to revive the local economy. Fortunately, Indonesia has already shifted towards a 100 Smart City for their Municipalities since 2017 . Yogyakarta as one of the best SC, has suffered the impact of pandemic. In the need to explore the phenomenon of how an SC should be implemented within the circumstances , it will be relevant to describe a gap analysis on (1) Yogyakarta SC Project through the dimensions of SG and SE and (2) Strategic Solutions. This paper employed a gap analysis through a qualitative study and it uncovered gaps of the SC project such as central government intervention, sectoral quality of digitalization, and intergovernmental sync. The strategy to eclipse the Cohen SC Wheel are the followings: reinforcing the regulatory capacity, improving the app business process and features, and intensify the formal cooperation, be it inter-governmentally or between public-private.

Improving Entrepreneurs’ Digital Skills and Firms’ Digital Competencies through Business Apps Training: A Study of Small Firms

The lack of awareness of digital services and outcomes is a concern in business environments since small firms need to improve their digital competencies. The present exploratory study investigated whether business apps training was associated with entrepreneurs’ and firms’ digital advancements. The business apps training was offered to migrant entrepreneurs running small firms in Athens (Greece) over three months, with data collected before and after the training. The analysis revealed that business apps training was positively associated with entrepreneurs’ attitudes toward technology, willingness to change (relating to technology/skills/operations), and internet/digital skills, as well as an increased use of business apps. Moreover, the training was positively associated with firms’ digital competencies related to communication, networking, social media, customer relationship management, payments, accounting and finance, and project management operations. Furthermore, business apps training was positively associated with migrant entrepreneurs’ integration into Greek society. Given the increased number of migrants in Europe, factors that positively impact their entrepreneurship and integration merit consideration. The study provides researchers with a systematic method for evaluating the association between business app training and entrepreneurs’ and firms’ digital advancements.

Improving Entrepreneurs' Digital Skills and Firms' Digital Competencies Through Business Apps Training: A Study of Small Firms

Improving Entrepreneurs' Digital Skills and Firms' Digital Competencies Through Business Apps Training: A Study of Small Firms

Optimization of the workflow in the company Odoo using the CRM-system module

This article provides a brief definition of Odoо ERP-system (Enterprise Resource Planning), talks about commonly used modules, informs about the type of software distribution. Odoo ERP system is enterprise resource planning software used company-wide for the management of business processes. Odoo provides seamlessly integrated functional business apps called Odoo apps that form an ERP solution when combined. Also it demonstrates the operation of modules such as: "Contacts", "Sales" in the form of a "black box", business process presentation and class diagram. Particular attention is paid to the CRM (customer relationships management) system module, the logic of its use is presented in the form of a business process. CRM, the customer relationship management in Odoo allows you to manage the complete customer leads, opportunities and common clients. It includes overview the ongoing processes, upcoming activities and also the previous month performance. Also, track all the leads from different resources and convert them into opportunities. The main provisions of the module are considered to ensure the effective implementation of the work plan in companies, transparent display of the amount of work performed and saving working time.

Technology at the dinner table: Perceptions about food delivery apps

The growth in the mobile food delivery ordering apps considers an innovative channel for the restaurants. The growth in mobile communication has remarkable reason attribute to the online to offline (O2O) business. Mobile phone applications adopt this opportunity to restaurants and food delivery services. It’s an alternative way to increase the sale revenue and conveniently receiving the products and services for the consumer. This study was design to explore the five quality attributes that’s are associate with the online food delivery apps convenience, design, price, trustworthiness and various food choices, check their impact on user perceived value and attitude towards food delivery apps. A result shows the most important quality attributes for the online food delivery app business is trustworthiness. Additionally, the results found that gender placed important quality attributes price and various food choices. For the female design trustworthiness and convenience are the important quality attributes. The sample size is 309 and the data were collected fro ASAD TAHIR m the students through the online Google survey. Managerial implementation limitations, recommendations and future research are provided.

The Effectuation Dynamics: The Identification-Cognition-Empowerment Perspective

This paper investigates effectuation dynamics, the key different decision-making logics, under the uncertainty on starting new ventures are hybrid by both of causal and effectual reasoning. Many entrepreneurial teams adjust their cognitive styles based on the different challenges they face during the new venture life cycle. Due to the high uncertainty (short life cycle and high competition) of app economy, we choose the new venture firms are in app business and also adopted for a given app affects app performance as measured by the database of apps. Using data from 71 in-depth interviews with 28 executive members, we recorded 179 key decisions chronologically and examined the pattern of decision-making processes. Drawing on the identity-cognition-empowerment perspective, our examination supported the effectuation dynamics, as constructed from entrepreneurs' and industry social exchange mechanisms with effectuation principles and explored how the transitions between the two decision-making processes impact start-up teams. We show how new venture firms empower structurally embedding their transactions, negotiating and financing capabilities, which enable firms to use social mechanisms for adapting, coordination and safeguarding. Our observations also suggest an evolving intelligence on strategic decision-making, demonstrating how effectuation and causation logics are combined, and how entrepreneurs emphasis by integrating and synthesizing transaction cost economics and social network theory.

Pricing for Collaboration between Online Apps and Offline Venues

An increasing number of mobile applications (abbrev. apps), like Pokemon Go and Snapchat, reward the users who physically visit some locations tagged as POIs (places-of-interest) by the apps. We study the novel POI-based collaboration between apps and venues (e.g., restaurants). On the one hand, an app charges a venue and tags the venue as a POI. The POI tag motivates users to visit the venue, which potentially increases the venue's sales. On the other hand, the venue can invest in the app-related infrastructure, which enables more users to use the app and further benefits the app's business. The apps’ existing POI tariffs cannot fully incentivize the venue's infrastructure investment, and hence cannot lead to the most effective app-venue collaboration. We design an optimal two-part tariff, which charges the venue for becoming a POI, and subsidizes the venue every time a user interacts with the POI. The subsidy design efficiently incentivizes the venue's infrastructure investment, and we prove that our tariff achieves the highest app's revenue among a general class of tariffs. Furthermore, we derive some counter-intuitive guidelines for the POI-based collaboration. For example, a bandwidth-consuming app should collaborate with a low-quality venue (users have low utilities when consuming the venue's products).

Exploring the relationship between personality structure and smartphone usage

This study aimed to investigate the relationship between personality dispositions and actual and observed behavior expressed through several smartphone apps categories (relying on a built-in function of the smartphone, the app usage from the battery information menu), as well as to investigate the association between personality traits and the number of installed apps per category. The research sample consisted of 341 participants that monitored their app usage. In addition, participants completed measures related to personality structure (Big Five, HEXACO, and the Dark Triad). The findings of the study showed that personality dispositions predicted smartphone apps usage in various categories such as entertainment apps, music apps, gaming apps, business apps, e-health apps, and dating apps. In conclusion, this study showed that actual behavior expressed through various app categories is associated with broad and important personality dimensions. The findings of this research can be useful in integrating actual behavior in psychological research.

Big Data Analytics With Reference To Wide Variety of Domains

In the current day scenario, a huge amount of data is been generated from various heterogeneous sources like social networks, business apps, government sector, marketing, health care system, sensors, machine log data which is created at such a high speed and other sources. Big Data is chosen as one among the upcoming area of research by several industries. In this paper, the author presents wide collection of literature that has been reviewed and analyzed. This paper emphasizes on Big Data Technologies, Application & Challenges, a comparative study on architectures, methodologies, tools, and survey results proposed by various researchers are presented.

The Social Mechanism on Involving the Dynamics of Transition between Effectuation and Causation

Key different decision-making logics under the uncertainty on starting new ventures are dynamic and hybrid by both of causal and effectual reasoning. Many entrepreneurial teams adjusting their cognitive styles based on the different challenges they face during the new venture life cycle. Due to the high uncertainty (short life cycle and high competition) of the app economy, we choose the new venture firms are in app business and also adopted for a given app affects app performance as measured by the database of apps. To investigate the uncertainty under social mechanisms on how new ventures benefit from between effectuation and causation over the life cycle of ventures launched by 10 startup teams which are all focusing on the mobile economy; and to explore the consequences of this transition and these mechanisms. Using data from 71 in-depth interviews with 28 executive members, we recorded 179 key decisions chronologically and examined the pattern of decision-making processes. Our examination supported the social exchange mechanisms with effectuation principles and explored how the transitions between the two decision-making processes impact start-up teams. This exchange mechanism demonstrates how new venture firms encourage structurally embedding their transactions, negotiating and financing capabilities, which enable firms to use social mechanisms for adapting, coordination and safeguarding. Our observations also suggest a hybrid perspective on strategic decision-making, demonstrating how effectuation and causation logics are combined, and how entrepreneurs emphasis by integrating and synthesizing transaction cost economics and social network theory.

RomaDroid: A Robust and Efficient Technique for Detecting Android App Clones Using a Tree Structure and Components of Each App’s Manifest File

There are various types of Android apps, such as entertainment apps, health and fitness apps, travel apps, educational apps, business apps, and so on. Android apps can contain business logic, maintain sensitive personal information, and act as a bridge between IoT devices and cloud servers. Since illegal users frequently make a copy of a legitimate Android app and redistribute the plagiarized app for commercial or malicious purposes, many studies have been conducted to detect repackaged/cloned apps and make the Android ecosystem safer. A malicious attacker might apply code obfuscation to avoid app clone detection. Therefore, it is necessary to consider the effects of code obfuscation when detecting cloned apps. In this paper, we design and implement a tool called RomaDroid, which can detect efficiently cloned apps based on features inherent in each app's AndroidManifest.xml file. The manifest file is XML structure defined by tags or attributes and its XML document can be modeled as an ordered labeled tree. The RomaDroid creates a string from the hierarchical tree structure of tags as well as the class name of the components related to intent-filter tags in the manifest file, which are robust to code obfuscation. That is, we create a string from each manifest file of two apps to be compared and measure the similarity between the created two strings with the longest common subsequence (LCS) algorithm. If the measured similarity exceeds a certain threshold, the two apps are determined to be a clone pair (or similar app pair). To validate the RomaDroid, we perform various experiments with both non-obfuscated apps and their obfuscated versions generated by three obfuscation tools. The experimental results show that the RomaDroid detects accurately cloned apps even in the cases code obfuscation has been applied.

QoS-based ranking and selection of SaaS applications using heterogeneous similarity metrics

The plethora of cloud application services (Apps) in the cloud business apps e-marketplace often leads to service choice overload. Meanwhile, existing SaaS e-marketplaces employ keyword-based inputs that do not consider both the quantitative and qualitative quality of service (QoS) attributes that characterise cloud-based services. Also, existing QoS-based cloud service ranking approaches rank cloud application services are based on the assumption that the services are characterised by quantitative QoS attributes alone, and have employed quantitative-based similarity metrics for ranking. However, the dimensions of cloud service QoS requirements are heterogeneous in nature, comprising both quantitative and qualitative QoS attributes, hence a cloud service ranking approach that embrace core heterogeneous QoS dimensions is essential in order to engender more objective cloud selection. In this paper, we propose the use of heterogeneous similarity metrics (HSM) that combines quantitative and qualitative dimensions for QoS-based ranking of cloud-based services. By using a synthetically generated cloud services dataset, we evaluated the ranking performance of five HSM using Kendall tau rank coefficient and precision as accuracy metrics benchmarked with one HSM. The results show significant rank order correlation of Heterogeneous Euclidean-Eskin Metric, Heterogeneous Euclidean-Overlap Metric, and Heterogeneous Value Difference Metric with human similarity judgment, compared to other metrics used in the study. Our results confirm the applicability of HSM for QoS ranking of cloud services in cloud service e-marketplace with respect to users’ heterogeneous QoS requirements.