Seller Agents Research Articles

Exploration of Knowledge Management in Mediating Organizational Culture and Authentic Leadership on Employee Performance at PT Bareksa Investment Portal

PT Bareksa is a pioneer of integrated financial and investment marketplace services in Indonesia. Since obtaining an official license from the Financial Services Authority (OJK) in 2016, Bareksa has become a Mutual Fund Selling Agent offering mutual fund products from various trusted investment managers. With a significant market share, Bareksa is trusted by many investors in Indonesia. The purpose of this research is to identify and analyze the influence of organizational culture and authentic leadership on employee performance through knowledge management. This research uses a quantitative approach with a descriptive causality type of research. The number of respondents is 200 people. The data analysis technique used is descriptive analysis and path analysis. The results of the research show that both partially and simultaneously, organizational culture and authentic leadership through knowledge management have a significant impact on improving employee performance. Organizational culture, authentic leadership, and knowledge management are able to explain the level of influence by 67.4%, while the remaining 32.6% is influenced by other factors. Descriptively, all variables are in a very good position. The implication of this research is the need to strengthen organizational culture supported by authentic leadership and applied through knowledge management to encourage performance improvement.

An Exploratory Study on Role of Direct Selling Agent towards Bank and Customer with Specific Reference to Home Loan Services in Punjab

DSA (Direct Selling Agent) that agent who involves in the process of grants home loan from the bank or NBFC to the potential customer. DSA’s job outline is create leads, documentation, cross checking. This study explains role and responsibility of DSA towards bank and customers, awareness of DSA services of the different banks and NBFC among the potential customer, challenges faced by the customer for the approval of home loan and challenges faced by the DSA at the time of process home loan application. In this study the researcher has to implement both primary data and secondary data complete this paper. The primary data deals with raw data collected through questionnaire to the respondents related with their level of disbursement of housing loan. The secondary data consists of reports of existing customers from the banks and NBFC. Pass the housing loan by banks and NBFC provides a boost for the growth and development of house construction industries. Now a time lack of knowledge among individuals related with banking products of all types of banks at one time. In case home loan customer wants to take loan according to their requirements for example lower rate of interest, Type of banks, credit score for transparency and clarity of about loan terms. There are many problems discussed already in previous studies such as different cost of borrowing, collateral security, processing time, proof of income, documentation and margin money. These problems studied by the previous researcher described in the section of the literature review. In view of the above things, it is necessary to conduct a research study to fill these gaps that have been depicted as research problem. The respondents for this research who belong to upper class, middle class or lower-class groups and lived in Patiala city or zones of Patiala. Keywords satisfaction level of customer, Responsibility of Direct selling agent, Challenges faced by DSA

Is blockchain technology desirable? When considering power structures and consumer preference for blockchain

Blockchain technology is very useful for combating counterfeits and verifying the authenticity of products for consumers. This paper studies blockchain adoption in a two-level supply chain consisting of a brand supplier and a retailer. Our contribution using the game-theoretic framework is to consider the various preferences that consumers may have for blockchain-supported products and to investigate the value and effects of blockchain in a traditional wholesale channel with different power structures and a platform-based-agent selling channel. We confirm that consumer aversion to blockchain will lower retailer incentive to adopt blockchain, while the opposite will occur if consumers are interested in blockchain. We find that the market leader with power advantage is more motivated to adopt blockchain while the follower has less motivation. We also find that the brand supplier will be willing to move to the agent selling channel if the unit cost of the blockchain is low and the platform commission rate is medium. Moreover, an interesting finding is that blockchain can achieve a win–win-win outcome for the brand supplier, retailer, and consumers under a certain critical threshold, which may cause unfair distribution of supply chain profit and may also be detrimental to the establishment of agent selling.

How to Distribute Green Products in Competition with Brown Products? Direct Selling versus Agent Selling?

In order to respond to and take advantage of consumers’ growing interest in green products, an increasing number of firms are expanding their market share by introducing green versions of their brown products. However, firms are faced with the challenge of how to distribute green products to avoid mutual encroachment with brown products. To solve this problem, this paper constructs a Stackelberg game model consisting of a manufacturer (leader) and a retailer (follower), in which the manufacturer provides brown and green products, and then develops two channel structures for green products to be sold through the manufacturer (direct selling) and the retailer (agent selling). The results show that the manufacturer’s choice of green product distribution channels is affected by the direct selling costs and the market share of green consumers and their product preferences. When the direct selling cost is zero or consumers are green, the manufacturer always chooses direct selling. However, with an increase in the direct selling costs, if green consumers have a large difference in their preference for green and brown products, the manufacturer chooses agent selling, and vice versa. In particular, the impact of the market share of green consumers on the profits of the manufacturer is different in the two channel structures. The higher the market share of green consumers under agent selling, the more beneficial it is for the manufacturer. However, under direct selling, the profits of the manufacturer show an “inverted U” trend with the increase in the market share of green consumers. In addition, under certain conditions, the direct selling channels opened by the manufacturer are not necessarily to sell green products, but to maximize the market share of brown products. The strategy is to set high prices for green products in direct selling channels to stimulate consumers to buy brown products. These findings can provide insights for manufacturers to design appropriate green product distribution strategies.

Automated Bilateral Trading of Energy by Alliances in Multi-Agent Electricity Markets

In liberalized markets, consumers can choose their electricity suppliers or be part of an energy community. The problem with communities is that they may not have enough weight to trade in markets, which can be overcome by forming coalitions. Electricity is traded in spot markets or through bilateral contracts involving consumers and suppliers. This paper is devoted to bilateral contracting, modeled as a negotiation process involving an iterative exchange of offers and counter-offers. It focuses on coalitions of energy communities. Specifically, it presents team and single-agent negotiation models, where each consumer has strategies, tactics, and decision models. Coalition agents are equipped with intra-team strategies and decision protocols. It also describes a study of bilateral contracts involving a seller agent and a coalition of energy communities. By allying into a coalition, members of energy communities reduced their average costs for electricity by between 2% (large consumers) and 64% (small consumers) according to their consumption. Their levelized cost reduction was 19%. The results demonstrate the power of coalitions when negotiating bilateral contracts and the benefit of a low-consumption members alliance with larger players.

Is mandatory seller disclosure of flood risk necessary? A Brisbane, Australia, case study

PurposeInformation on the impact of flooding is fundamental to mitigating flood risk in residential property. This paper aims to provide insight into the seller disclosure of flood risk and buyer behaviour in the absence of mandated seller disclosure.Design/methodology/approachThis paper adopts a case study approach to critically evaluate the matrix of flood information available for buyers purchasing residential property in Brisbane, Queensland. This paper uses big data analytic techniques to extract and analyse internet data from online seller agents and buyer platforms to gain an understanding of buyer awareness and consideration of flood risk in the residential property market.FindingsAnalysis of property marketing data demonstrates that seller agents voluntarily disclose flood impact only in periods where a flooding event is anticipated and is limited to asserting a property is free of flood risk. Analysis of buyer commentary demonstrates that buyers are either unaware of flood information or are discounting the risk of flood in favour of other property and locational attributes when selecting residential property.Practical implicationsThis research suggests that improved and accessible government-provided flood mapping tools are not enhancing buyers’ understanding and awareness of flood risk. Accordingly, it is recommended that mandatory disclosure be introduced in Queensland so that buyers are more able to manage risk and investment decisions before the purchase of residential property.Originality/valueThis paper contributes to existing literature on raising community awareness and understanding of natural disaster risks and makes a further contribution in identifying mandatory disclosure as a mechanism to highlight the risk of flooding and inform residential property purchasers.

The Influence of Celebrity Endorsers and Social Media Marketing Mediated by Brand Awareness on the Purchase Intention of Mutual Fund Products in an APERD (Mutual Fund Selling Agent) in Indonesia

In this digital era, marketing media is one of the techniques used to introduce and advertise products. In addition, product marketing is promoted through so-called celebrity endorsers to make it more famous. This study aims to examine the influence of celebrity endorsers and social media marketing on the products of an APERD (Mutual Fund Selling Agent) in Indonesia, by considering brand awareness. This study used convenience sampling and SMART PLS as the sample collection and data analysis. The results revealed that celebrity endorsers directly influenced purchase intention negatively, yet positively when mediated by brand awareness. In contrast, social media marketing influenced purchase intention positively, either directly or when mediated by brand awareness.

Online promotion format selection for a supply chain with environment responsibility in an uncertain market

Corporate environmental responsibility has received considerable attention. In our study, we consider a supply chain in which a manufacturer invests in green technology to decrease the carbon footprint. The main issue addressed here is how the manufacturer selects the optimal online selling format between agency selling and reselling to ensure profitability with a lower carbon footprint. In an uncertain market with considering different pricing sequences in dual-channel promotion,we explore six scenarios. The results show that the different pricing sequences will not affect the equilibrium green degree and pricing strategies under agency selling, whereas it may result in an improved greenness in reselling format. Furthermore, under the interaction of uncertain demand, pricing sequence and green technology investment, we reveal the agent selling format is not always superior to the reselling format with a double-marginalization effect, which contrary to the general intuition. Specifically, in an optimistic market, the manufacturer is more profitable in reselling format when the promotion price set in online channel prior to traditional channel, and in a pessimistic market, the opposite pricing sequence formulated will bring a considerable benefit to the manufacturer.

Sharia Review of Mutual Funds Selling Agents: A Case Study of Ajaib Applications

Capital market companies are currently developing, one of which is the spread of Islamic mutual funds which is facilitated by technological advances, namely the availability of platforms to make it easier for the users. PT. Takjub Teknologi Indonesia is an agent selling mutual fund securities, which carries the Ajaib application for mutual fund transactions. Companies that act as intermediaries for investors and investment managers. The formulation of the research problem is: What is the role and perspective of the sharia application of Ajaib as an agent selling mutual fund securities? This study aims to determine the role of the Ajaib application and review it in Sharia studies. The method used is a descriptive qualitative approach. This research resulted in several points as follows: 1). The role of the Ajaib application has the main task of marketing the securities of Islamic mutual funds to investment managers. Supported by the function of investor complaints and operating standards in writing, 2). Based on the Sharia review of the role of the Ajaib application, it fulfills the pillars and requirements of the samsarah contract, is following the sharia maqashid, and meets the existing fikhiyah rules, and in its application, this application meets muamalah etiquette.

A Three-Stage Multi-Energy Trading Strategy Based on P2P Trading Mode

This paper proposes a three-stage multi-energy sharing strategy for a gas-electricity integrated energy system (IES). It aims to solve the multi-energy imbalance problem among energy hubs (EHs) based on the peer-to-peer (P2P) trading mode. First, considering the characteristics of multi-energy coupling and conversion, the quantity of shareable energy is determined for EHs that participate in the P2P trading. Furthermore, EHs conduct multi-bilateral negotiations based on the Raiffa-Kalai-Smorodinsky bargaining solution (RBS) to determine the optimal energy trading price. Finally, the buyer agent and the seller agent will design the optimal energy sharing trading strategy for all EHs. Moreover, the results show that the pricing mechanism improves the fairness of satisfaction obtained by the EHs from the utility distribution, and the social welfare of the system is improved, which proves that the three-stage multi-energy sharing trading strategy is effective.

Green R&D Financing Strategy in Platform Supply Chain with Data-Driven Marketing

Platform enterprises can improve green R&D efficiency by data-driven marketing (DDM) activities and can also provide financing assistance to manufacturers. In this context, for a platform supply chain consisting of one manufacturer facing a shortage of green R&D funds and a one third-party platform, this paper develops four game models under two financing channels (bank financing channel and platform financing channel) and two selling modes (agency selling mode and reselling mode). The equilibrium results of different models are derived and compared, and then the choices of selling mode and financing channel from the perspectives of both the manufacturer and the platform are analyzed. The conclusions show that the consumers’ sensitivities to green R&D and DDM activities, as well as service commission fee, are major factors influencing green R&D level and both parties’ choice of selling mode and financing channel. In most cases, a platform financing channel can promote the green R&D level better and is more beneficial to the manufacturer and the platform. Only in a few cases, the two parties prefer the reselling mode and bank financing channel. However, agent selling with bank financing will never be their optimal strategy. There exists four situations in which the manufacturer and the platform can agree on a same strategy on selling mode and financing channel.

PENGARUH PERSONAL SELLING AGEN DAN KUALITAS PRODUK TERHADAP KEPUTUSAN PEMBELIAN NASABAH ASURANSI SUN LIFE FINANCIAL SINGARAJA

This research aims to examine the cause of (1) personal selling agent and product quality toward purchasing decision, (2) personal selling toward purchasing decision, (3) product quality toward purchasing decisions empirically. The design of this research is causal quantitative research design. One of the methods of data collection is questionnaire, which is analyzed by using multiple regression with classical assumption test. The result of the research shows that there are significant influence from (1) personal selling and product quality toward purchasing decision with contribution influence of 0,785 (2) personal selling toward purchasing decision with contribution influence of 0,445 and (3) product quality toward purchasing decision with contribution influence of 0,173 to the client of PT. Sun Life Financial

SENTIMENT ANALYSIS OF REKSADANA ON BIBIT APPLICATIONS USING THE NAÏVE BAYES METHOD AND K-NEAREST NEIGHBOR (KNN)

The public's lack of interest in the capital market has made the top brass of capital market companies compete with each other to provide services in order to provide convenience for customers in the various services available and provide convenience in accessing financial information. The emergence of several startup companies that provide mutual fund investment products for investors, namely PT Bibit Reksadana Grow Together, which created a mutual fund application, namely Bibit Mutual Fund with more than one million users based on data downloaded on the play store by PT Bibit Grow Bersama which acts as a Mutual Fund Selling Agent (APERD) and sells 134 mutual fund products. So, to provide information to the public, it is necessary to have a sentiment analysis on how the opinions of users of the mutual fund seed application use the methodK-nearest neighbor (KNN) and Naïve Bayes, with the results of crawling data of 3800 tweets and scraping of 5000 reviews, then the text processing and labeling stages are carried out using the textblob library, with a high level of accuracy in the classification of tweet data and review data using the K-nearest neighbor method. Nearest Neighbor as much as 88%, 100%, and Naïve Bayes as much as 100%, 100%, it can be concluded that positive opinions from seed mutual fund users are more than negative sentiments.

Analisis Sengketa Pajak Pertambahan Nilai Atas Non Funded Income Pada Pengusaha Jasa Perbankan

This study analyzes Value Added Tax disputes on Non-Funded Income at Banking Service Entrepreneurs with a case study of the Supreme Court Reconsideration Decision Number 628/B/PK/PJK/2019 to find out how the Judge decided the dispute. The research method used is juridical normative with statutory, case, and analytical approaches. The data used are laws, Judges' Decisions, and Doctrine. The data were collected by means of document studies, the results of data processing were narrated descriptively with the IREAC law application model: Issues, Rules, Evidence, Application, Conclusion. The results of the research are the tax authorities' opinion that the Selling Agent Fee-Invest Services-Services Priority account as the name implies is income from sales agent service fees as Non-Funded Income which is an object of VAT, Judges based on the evidence in court argued that the account was for banking services that were not objects VAT. In determining taxes, tax authorities are based on formal principles, while judges are based on material principles or the principle of substance over the form. Judges' decisions that are legally enforceable are still a material source of law, and should be used as a consideration for the tax authorities in determining taxes for similar cases so that they do not become tax disputes that must be resolved through acting legal measures that require time, effort and other resources.

Firms’ introduction of internet-based installment: Incremental demand vs. cash opportunity cost

Installment services such as Amazon Pay EMI, Ant Credit Pay, and ZestMoney EMI are internet-based financial innovations, which have been more and more widely offered by e-commerce firms. Undoubtedly, installment helps attract customers by allowing them to “buy now and pay later”. However, firms have to undertake the cash opportunity cost because the actual payment is triggered some days/months later, without any interest in the grace period. In this paper, we build a chain-to-chain competition model comprising of a reselling platform (e.g., Amazon.com), an agent selling platform (e.g., Taobao.com) and their exclusive suppliers, to investigate whether the reselling platform and the supplier on the agent selling platform have incentives to provide installment services. Interestingly, we find that, when the incremental demand is in a moderate range, there exists an asymmetric equilibrium where the reselling platform provides installment services while the supplier on the agent selling platform does not. Regarding the wholesale price for the reselling platform, we find the supplier may determine a lower or higher wholesale price when the reselling platform provides installment services, depending on the volume of the incremental demand. We further study the impact of tariff cost, product substitutability, amount limitation, correlation between price and incremental demand and uncertainty of exchange rate for installment to verify the robustness of the main findings.

Direct selling, agent selling, or dual-format selling: Electronic channel configuration considering channel competition and platform service

Flourishing e-commerce has prompted manufacturers to design different electronic channel structures for consumers' electronic shopping needs. As a result, the study of e-commerce channel configuration decision has become an important research topic. Toward this end, we establish three-stage sequential game models and investigate a manufacturer’s electronic channel configuration strategy from the perspective of both the manufacturer and the whole supply chain. In addition to a traditional channel, the main innovation of this paper is the framework involving three different electronic channel structures: the first is direct selling, in which the manufacturer sells products directly to consumers; the second is agent selling, in which the manufacturer sells products through a third-party platform; and the third is dual-format selling, in which the manufacturer sells products through both direct selling and agent selling. In these frameworks, the manufacturer’s selling price and the platform’s transaction fee are obtained by backward induction. Another innovation is the simultaneous incorporation of key factors such as the cross-channel effect, channel competition and platform service into our discussion. Sensitivity analysis is carried out and numerical examples are given to reveal the impact of exogenous parameters on equilibrium outcomes and channel configuration strategies both theoretically and numerically. Our analysis shows that channel competition intensity and transaction fee impact factor are critical to determining channel configuration. When these two factors are both either large or small, dual-format selling is the optimal configuration; otherwise, agent selling is preferred. In addition, we find that an electronic channel consisting solely of direct selling will never be chosen. In the extended models, we also find that our main results are robust for cases of positive entry cost, endogenous pricing, and demand-driven data value.

Trust, commitment and business expansion in automotive supply chains in a developing country: a principal-agency perspective

The automotive industry is important for sustaining developing countries' economies. Literature states the South African automotive buyer-seller relationships are hampered by conflict where both parties reveal self-serving behaviour. This results in a decrease of trust and commitment, and increased supply chain uncertainty that is hampering business expansion. Hence, this study aimed to investigate the relationships between trust, commitment and business expansion through buyer-seller relationships. A quantitative study was conducted through a structured close-ended questionnaire among 114 managers from automotive component manufacturers. The empirical research found a strong presence of trust and commitment in automotive buyer-seller relationships. The influence of trust and commitment on possible business expansion was determined through a regression-based analysis. Findings revealed trust in a seller (agent) results in business expansion and commitment to a seller acts as a mediator between trust and business expansion. Action plans for both agents and principals (buyers) are recommended to sustain business.

Automated Negotiation for Peer-to-Peer Electricity Trading in Local Energy Markets

Reliable access to electricity is still a challenge in many developing countries. Indeed, rural areas in sub-Saharan Africa and developing countries such as India still encounter frequent power outages. Local energy markets (LEMs) have emerged as a low-cost solution enabling prosumers with power supply systems such as solar PV to sell their surplus of energy to other members of the local community. This paper proposes a one-to-one automated negotiation framework for peer-to-peer (P2P) local trading of electricity. Our framework uses an autonomous agent model to capture the preferences of both an electricity seller (consumer) and buyer (small local generator or prosumer), in terms of price and electricity quantities to be traded in different periods throughout a day. We develop a bilateral negotiation framework based on the well-known Rubinstein alternating offers protocol, in which the quantity of electricity and the price for different periods are aggregated into daily packages and negotiated between the buyer and seller agent. The framework is then implemented experimentally, with buyers and sellers adopting different negotiation strategies based on negotiation concession algorithms, such as linear heuristic or Boulware. Results show that this framework and agents modelling allow prosumers to increase their revenue while providing electricity access to the community at low cost.

ANALISIS FAKTOR YANG MEMPENGARUHI PERMINTAAN SUKUK RITEL SERI SR 05

The budget deficit financing instruments and government projects through sukuk have the potential to increase fiscal sustainability in the long run. Series Retail Government Sukuk which are state securities based on sharia principles issued by the Government as proof of the participation in Islamic Securities Assets, which are sold to individuals (ritail) or Indonesian citizens through a Selling Agent, with a minimum nominal amount determined also has increased nominal issuance since it was first published in 2009. The purpose of this study is to find out the factors that influence the demand for Retail Sukuk SR 05. The variables studied in this study are limited to the price of retail state sukuk, bank deposit interest rates, profit sharing ratio for bank deposits sharia, other bond prices and inflation rates. The form of this research is quantitative descriptive. The data used in this study are secondary data The analytical method used in this study is multiple linear regression analysis. The results showed that the factor that influenced the demand for SR 05 series sukuk was the price of the sukuk itself.

Agent based bilateral transactive market for emerging distribution system considering imbalances

Abstract Integration of large number of small-scale producers and prosumers with DER (Distributed Energy Resources) has necessitated the development of markets for distribution grid management. However, the present approaches does not account for regulatory and settlement aspects of electricity market for Bilateral Transactions (BT). The paper provides an architecture for the same, wherein entities (seller/buyer) not only maximize social welfare but also consider penalties associated with real time imbalances for settlement. To achieve this, discrete energy profile rather than a single integrated energy bid is used. The paper utilizes agent technology to model seller and buyer negotiation by designing behaviours. With these behaviours, seller agent attempts to maximize its revenue and minimize its imbalance payment, while buyer agent minimize its payment towards contractual obligation. Different case studies are established and simulated to highlight the utility of the proposed approach. The results are also compared with the traditional approach and discussed.